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PRACE

Partnership for Advanced Computing in Europe

PRACE https://tess.elixir-europe.org/content_providers/prace Partnership for Advanced Computing in Europe /system/content_providers/images/000/000/059/original/1c2d412b-c20c-43b8-926d-6febf042f341?1479828059
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Showing 30 upcoming events out of 44. Found 530 past events. View all results.

  • Interactive High-Performance Computing @ JSC

    9 - 10 April 2019

    Interactive High-Performance Computing @ JSC https://tess.elixir-europe.org/events/interactive-high-performance-computing-jsc Interactive exploration and analysis of large amounts of data from scientific simulations, in-situ visualization and application control are convincing scenarios for explorative sciences. Based on the open source software Jupyter or JupyterLab, a way has been available for some time now that combines interactive with reproducible computing while at the same time meeting the challenges of support for the wide range of different software workflows. Even on supercomputers, the method enables the creation of documents that combine live code with narrative text, mathematical equations, visualizations, interactive controls, and other extensive output. However, a number of challenges must be mastered in order to make existing workflows ready for interactive high-performance computing. With so many possibilities, it's easy to lose sight of the big picture. This course provides a detailed introduction to interactive high-performance computing. The following topics are covered: Opportunities and challenges of interactive HPC Functionality and interaction of the necessary components Introduction to the most important libraries Coupling and control of simulations Visualizing results interactively   Prerequisites: Experience in Python Application Registrations are only considered until 15 March 2018 due to available space, the maximal number of participants is limited. Applicants will be notified, whether they are accepted for participitation. Instructors: Jens Henrik Göbbert, Alice Grosch, JSC Contact For any questions concerning the course please send an e-mail to j.goebbert@fz-juelich.de https://events.prace-ri.eu/event/826/ 2019-04-09 07:00:00 UTC 2019-04-10 14:30:00 UTC [] [] [] workshops_and_courses [] []

  • Programming Distributed Computing Platforms with COMPSs @ BSC

    29 - 30 January 2019

    Programming Distributed Computing Platforms with COMPSs @ BSC https://tess.elixir-europe.org/events/programming-distributed-computing-platforms-with-compss-bsc-690d7bfe-6074-40ae-a706-b4a06ca5dfa8 The registration to this course is now open. Please, bring your own laptop. All the PATC courses at BSC are free of charge. Course convener: Rosa Badia, Workflows and Distributed Computing Group Manager, Computer Sciences - Workflows and Distributed Computing Department Lecturers:  Rosa M Badia, Workflows and Distributed Computing Group Manager, Computer Sciences - Workflows and Distributed Computing Department, BSC Javier Conejero, Senior Researcher, Computer Sciences - Workflows and Distributed Computing Department, BSC Jorge Ejarque, Researcher, Computer Sciences - Workflows and Distributed Computing Department, BSC Daniele Lezzi, senior researcher, Computer Sciences - Workflows and Distributed Computing Department, BSC Objectives: The objective of this course is to give an overview of the COMPSs programming model, which is able to exploit the inherent concurrency of sequential applications and execute them in a transparent manner to the application developer in distributed computing platform. This is achieved by annotating part of the code as tasks, and building at execution a task-dependence graph based on the actual data used consumed/produced by the tasks. The COMPSs runtime is able to schedule the tasks in the computing nodes and take into account facts like data locality and the different nature of the computing nodes in case of heterogeneous platforms. Additionally, recently COMPSs has been enhanced with the possibility of coordinating Web Services as part of the applications. COMPSs supports Java, C/C++ and Python as programming languages. Learning Outcomes:  In the course, the COMPSs syntax, programming methodology and an overview of the runtime internals will be given. The attendees will get a first lesson about programming with COMPSs that will enable them to start programming with this framework. A hands-on with simple introductory exercises will be also performed. The students who finish this course will be able to develop simple COMPSs applications and to run them both in a local resource and in a distributed platform (initially in a private cloud) Level: for trainees with some theoretical and practical knowledge. INTERMEDIATE: for trainees with some theoretical and practical knowledge; those who finished the beginners course ADVANCED: for trainees able to work independently and requiring guidance for solving complex problems Prerequisites: Programming skills in Java and Python    Agenda:  Day 1 (January, 29) Session 1 / 9:30am – 1:00pm (1h lecture, 1:30h practical) 9: 30 am – 10:00 am Roundtable. Presentation and background of participants 10:00 am – 10:15 am Motivation and introduction to COMPSs 10:15 am – 11:00 am Programming mode: Python Syntax 11:00 am – 11:30 am Coffee Break 11:30 am – 13:00 pm Python Hands-on 13:00 pm – 14:30 pm Lunch Break   Session 2 / 2:30pm – 16:30pm (2h practical) 14:30 pm – 16:30 pm practical session on parallelizing with PyCOMPSs (bring your own code) 16:30pm - Adjourn     Day 2 (January, 30) Session 3 / 9:30am – 1:30pm (1:30h lecture, 2 h practical) 9:30 am – 10:00 am: Java Syntax 10:00 am – 11:00 pm Java Hands-on 11:00 am – 11:30 am Coffee Break 11:30 am – 12:00 pm COMPSs execution environment 12:00 pm – 12:30 pm Integration COMPSs+OmpSs 12:30 pm – 13:30 pm Cluster Hands-on (MareNostrum) 13.30 pm – 14.30 pm Lunch Break   Session 4 / 2:30pm – 16:30pm (2h practical) 14.30 pm – 16.00 pm practical session on parallelizing with COMPSs (bring your own code) 16:00 pm – 16:30 pm COMPSs Installation and Final Notes 16:30pm - Adjourn   END of COURSE     https://events.prace-ri.eu/event/760/ 2019-01-29 08:30:00 UTC 2019-01-30 15:30:00 UTC [] [] [] workshops_and_courses [] []

  • 15th Advanced School on Parallel Computing @ Cineca

    11 - 15 February 2019

    15th Advanced School on Parallel Computing @ Cineca https://tess.elixir-europe.org/events/15th-advanced-school-on-parallel-computing-cineca Application deadline: January 16th, 2019 Description: In the roadmap toward next-generation supercomputers it is evident that heterogeneous architectures are taking an important share in the HPC market, and the consolidation of this kind of architectures requires an important effort in software development and applications refactoring. Moreover, in recent years Arm has started to emerge as a viable architecture for large scale HPC deployments, and more than one exascale projects being develop in the world are based on Arm architectures. This school focus on software development techniques to address the implementation of new HPC applications and the re-factory of existing ones, in the era of heterogeneous, energy efficient, massively parallel architectures, toward exascale. Two days of the school will be reserved for a workshop that will provide an introduction to, and hands on experience working with, the Arm HPC architecture and the accompanying ecosystem. It will be discussed the specifics of the Armv8 architecture, and their implications, and introduce some of the current HPC processors developed on this architecture. For the hands on exercises we will provide tutorials, to work through an introduction to the compiler and maths libraries, as well as the performance tools to be tested on the Arm cluster installed at Cineca. As a more advanced topic for the workshop we will introduce the upcoming vectorisation exstension SVE, and provide a guided tutorial on how to use the Arm instruction emulator to execute next generation code. Software engineering techniques and high productivity languages will complement lectures on parallel programming and porting toward new architectures, to allow the implementation of application that can be maintained across a complex and fast evolving HPC architectures. Topics: Heterogeneous architectures Arm HPC architecture Elements of software engineering Parallel programming techniques for throughput CPUs  (Nvidia and Intel) Parallel programming techniques for massively parallel applications Introduction to Python for high performance computing Models for applications integrating MPI, OpenMP OpenACC, CUDA and CUDA Fortran paradigms Target audience: The school is aimed at PRACE users, final year master students, PhD students, and young researchers in computational sciences and engineering, with different backgrounds, interested in applying the emerging technologies on high performance computing to their research. Pre-requisites: Good knowledge of parallel programming with MPI and/or OpenMP, knowledge of FORTRAN and C languages. Basic knowledge of parallel computer architectures. Admitted students: Attendance is free. A grant of 250 EUR (for students working abroad) and 150 EUR (for students working in Italy) will be available for participants not funded by their institution and not working or living in the Bologna area. Documentation will be required. Lunches for the 5 days will be provided by Cineca. Each student will be given a two month access to the Cineca's supercomputing resources. The number of participants is limited to 25 students. Applicants will be selected according to their experience, qualifications and scientific interest BASED ON WHAT WRITTEN IN THE REGISTRATION FORM. DUE TO PRIVACY REASON THE STUDENTS ADMITTED AND NOT ADMITTED WILL BE CONTACTED VIA EMAIL ON JANUARY, FRIDAY 18TH. IF YOU SUBMITTED AND DON'T RECEIVE THE EMAIL, PLEASE WRITE AT corsi.hpc@cineca.it.   Acknowledgement: The support of CINI for the software engineering module is gratefully acknowledged.   https://events.prace-ri.eu/event/836/ 2019-02-11 08:00:00 UTC 2019-02-15 16:00:00 UTC [] [] [] workshops_and_courses [] []

  • Systems Workshop: Programming MareNostrum 4 @ BSC

    27 - 28 February 2019

    Systems Workshop: Programming MareNostrum 4 @ BSC https://tess.elixir-europe.org/events/systems-workshop-programming-marenostrum-4-bsc-93bcf81b-5b06-49e7-b43a-2905ce9ecab8 The registration to this course is now open. Please, bring your own laptop.  All the PATC courses at BSC are free of charge. Course convener: David Vicente Lecturers: David Vicente, Javier Bartolomé, Carlos Tripiana, Oscar Hernandez, Rubén Ramos, Félix Ramos, Pablo Ródenas, Jorge Rodríguez, Marta Renato, Cristian Morales Objectives: The objective of this course is to present to potential users the new configuration of MareNostrum and a introduction on how to use the new system (batch system, compilers, hardware, MPI, etc).Also It will provide an introduction about RES and PRACE infrastructures and how to get access to the supercomputing resources available. Learning Outcomes: The students who finish this course will know the internal architecture of the new MareNostrum, how it works, the ways to get access to this infrastructure and also some information about optimization techniques for its architecture. Level: INTERMEDIATE -for trainees with some theoretical and practical knowledge; those who finished the beginners course. Prerequisites:  Any potential user of a HPC infrastructure will be welcome Agenda: DAY 1 (Feb. 27) 9am - 5pm Session 1 / 9:00am – 1:00 pm  (2:45 h lectures, 45’ practical) 09:00h - 09:30h Introduction to BSC, PRACE PATC and this training (David Vicente) 09:30h - 10:30h MareNostrum 4 – the view from System administration group (Javier Bartolomé) 10:30h – 11:00h COFFEE BREAK 11:00h - 11:30h Deep Learning and Big data tools on MN4 (Carlos Tripiana) 11:30h - 12:15h How to use MN4 – Basics: Batch system, file systems, compilers, modules, DT, DL, BSC commands (Oscar Hernandez, Rubén Ramos, Félix Ramos) 12:15h - 13:00h Hands-on I (Oscar Hernandez, Rubén Ramos, Félix Ramos) 13:00h - 14:30h LUNCH (not hosted)   Session 2 / 2:30pm – 5:15 pm (3:30 h practical) 14:30h - 15:15h How to use MN4 – HPC architectures and parallelism (Jorge Rodriguez, Pablo Ródenas) 15:15h - 16:00h How to use MN4 – Parallel programming: MPI, MPI IO, MKL, GREASY (Pablo Ródenas, Jorge Rodríguez) 16:00h - 16:15h COFFEE BREAK 16:15h - 16:45h Hands-on II (Pablo Ródenas, Jorge Rodriguez) 16:45h - 17:15h Optional: MareNostrum 4 visit (In the chapel) 17:15h - Adjourn   DAY 2 (Feb. 28) 9:00am – 1:00 pm  Session 3 / 9:00am – 1:00 pm  (2 h lectures, 1:30 h practical) 09:00h - 09:30h Optional: Doubts + Continue previous hands-on + Tunning your app (David Vicente, Jorge Rodríguez) 09:30h - 10:00h How can I get resources from you? (RES Marta Renato) 10:00h - 10:30h How can I get Resources from you? – (PRACE Cristian Morales) 10:30h - 11:00h COFFEE BREAK 11:00h - 11:30h Debugging on MareNostrum, from GDB to DDT (Pablo Ródenas, Oscar Hernandez) 11:30h - 12:30h Hands-on III – Debugging your application (Pablo Ródenas, Oscar Hernandez) 12:30h - 13:00h Wrap-up : Can we help you in your porting ? How ? when ? (David Vicente) 13:00h - Adjourn   END of COURSE   END of COURSE https://events.prace-ri.eu/event/763/ 2019-02-27 08:00:00 UTC 2019-02-28 12:00:00 UTC [] [] [] workshops_and_courses [] []

  • Short course on HPC-based Computational Bio-Medicine @ BSC

    13 - 15 February 2019

    Short course on HPC-based Computational Bio-Medicine @ BSC https://tess.elixir-europe.org/events/short-course-on-hpc-based-computational-bio-medicine-bsc The registration to this course is now open. Please, bring your own laptop. All the PATC courses at BSC are free of charge. Course convener: Mariano Vazquez and Ruth Aris Lecturers: Marco Verdicchio (SURFsara), Gábor Závodszky (UvA), Guillaume Houzeaux - Ricard Borrell (BSC), Dr Xinshan Li, Dr Alessandro Melis (USFD), Karl Podesta (MICROSOFT), Dr Alexander Heifetz (EVOTEC), Andrea Townsend-Nicholson, David Wright (UCL), Andrea Townsend-Nicholson, David Wright (UCL) Guillermo Marín (BSC), João Damas (ACELLERA), Adrià Perez (UPF), Alfonso Santiago (BSC), Jazmín Aguado-Sierra (BSC), Eva Casoni (BSC) Objectives:The objetive of this course is to give a panorama on the use of HPC-based computational mechanics in Engineering and Environment through the projects BSC are carrying on. This panorama includes the basics of what is behind the main tools: computational mechanics and parallelization. The training is delivered in collaboration with the center of excellence CompBioMed. Learning outcomes: The course gives a wide perspective and the latest trends of how HPC helps in industrial, clinical and research applications allowing to achieve more realistic multiphysics simulations.  In addition, the student has the opportunity of running Jobs in Marenostrum supercomputer. Level: INTERMEDIATE: For trainees with some theoretical and practical knowledge Agenda: Day 1 (Feb. 13) Session 1 / 9:00am – 1:00 pm (4 h lectures) 9:00-9:15 Wellcome (Mariano Vázquez, BSC) 9:15-11:00 Introduction to HPC in Computational Modelling (Marco Verdicchio, SURFsara) 11:00-13:00 Parallel algorithms for Computational Mechanics (Guillaume Houzeaux - Ricard Borrell, BSC) 13:00-14:00 Lunch Break Session 2 / 2:00pm – 6:00 pm (4 h lectures) 14:00-16:00 Computational Hemodynamics on HPC (UvA) (Gábor Závodszky, UvA) 16:00-18:00 High Throughput Molecular Dynamics Simulations for Drug Discovery (João Damas, ACELLERA, Adrià Perez, UPF)   Day 2 (Feb. 14) Session 3 / 9:00am – 1:00 pm (4 h lectures) 9:00-11:00 Predicting the risk of fall - A computational modelling approach using CT2S (Dr Xinshan Li, Dr Alessandro Melis, USFD) 11:00-13:00 Cloud Computing 13:00-14:00 Lunch Break Session 4 / 2:00pm – 6:00 pm (2 h lectures, 2 h practical) 14:00-15:00 Introduction to Computer-Aided Drug Design (CADD) and GPCR Modelling (Dr Alexander Heifetz, EVOTEC) 15:00-16:00 Innovations in HPC-training for medical, science and engineering students (Andrea Townsend-Nicholson, UCL) 16:00-18:00 Molecular Medicine: Hands On (Andrea Townsend-Nicholson, UCL)   Day 3 (Feb. 15) Session 5 / 9:00am – 1:00 pm (4 h lectures) 9:00-10:00 Data Visulization for Researchers Crash Course (Guillermo Marín, BSC) 10:00-12:00 Data Visulization (SURFsara) 12:00-13:00 Cardiac Modelling (BSC) 13:00-14:00 Lunch Break Session 6 / 2:00pm – 4:00 pm 14:00-16:00 Visit to MareNostrum   END of COURSE https://events.prace-ri.eu/event/762/ 2019-02-13 08:00:00 UTC 2019-02-15 17:00:00 UTC [] [] [] workshops_and_courses [] []

  • Introduction to Heterogeneous Memory Usage @ BSC

    26 February 2019

    Introduction to Heterogeneous Memory Usage @ BSC https://tess.elixir-europe.org/events/introduction-to-heterogeneous-memory-usage The registration to this course is now open. All PATC Courses at BSC do not charge fees. PLEASE BRING YOUR OWN LAPTOP. Convener:  Antonio Peña, Computer Sciences Senior Researcher, Accelerators and Communications for High Performance Computing, BSC Objectives:  The objective of this course is to learn how to use systems with more than one memory subsystem. We will see the different options on using Intel’s KNL memory subsystems and systems equipped with Intel’s Optane technology. Learning Outcomes: The students who finish this course will able to leverage applications using multiple memory subsystems Agenda: To be announced Level: INTERMEDIATE: for trainees with some theoretical and practical knowledge; those who finished the beginners course Prerequisites: Basic skills in C programming. https://events.prace-ri.eu/event/770/ 2019-02-26 08:00:00 UTC 2019-02-26 17:00:00 UTC [] [] [] workshops_and_courses [] []

  • Uncertainty quantification @MdlS

    27 - 29 May 2019

    Uncertainty quantification @MdlS https://tess.elixir-europe.org/events/uncertainty-quantification-mdls-8ab27eae-4c4e-457e-bc99-0ccf6ee93b78 Uncertainty in computer simulations, deterministic and probabilistic methods for quantifying uncertainty, OpenTurns software, Uranie software Content Uncertainty quantification takes into account the fact that most inputs to a simulation code are only known imperfectly. It seeks to translate this uncertainty of the data to improve the results of the simulation. This training will introduce the main methods and techniques by which this uncertainty propagation can be handled without resorting to an exhaustive exploration of the data space. HPC plays an important role in the subject, as it provides the computing power made necessary by the large number of simulations needed. The course will present the most important theoretical tools for probability and statistical analysis, and will illustrate the concepts using the OpenTurns software. Course Outline Day 1 - General methodology for handling uncertainty, presentation of a case study - Fundamental notions from probability and statistics - General introduction to the software tools: OpenTurns and Uranie   Day 2 - Statistical estimation: parametric and non-parametric, testing - Modeling with non-numerical data: expert judgement, entropy - Central trend: local and gloal sensitivity indices (design of experiments, sampling, Sobol indices) - computing the probability of rare events, simulation methods, FORM/SORM   Day 3 - Distributed computing: parallel solvers, batch jobs submission on a parallel computer, implementation within OpenTurns / Salome and Uranie - Introduction to meta-model building, least-squares, other response surface, Kriging, neural networks - Introduction to polynomial chaos Learning outcomes Learn to recognize when uncertainty quantification can bring new insight to simulations. Know the main tools and techniques to investigate uncertainty propagation. Gain familiarity with modern tools for actually carrying out the computations in a HPC context. Prerequisites Basic knowledge of probability will be useful, as will a basic familiarity with Linux. https://events.prace-ri.eu/event/815/ 2019-05-27 07:30:00 UTC 2019-05-29 15:00:00 UTC [] [] [] workshops_and_courses [] []

  • Introduction for Simulation Environments for Life Sciences @ BSC

    14 - 15 March 2019

    Introduction for Simulation Environments for Life Sciences @ BSC https://tess.elixir-europe.org/events/introduction-for-simulation-environments-for-life-sciences-bsc The registration to this course is now open. Please, bring your own laptop. All the PATC courses at BSC are free of charge. Objectives: The course will make the attendants familiar with simulation technologies used in Life Sciences and their specific adaptation to HPC environment Course convener: Josep Gelpi Detailed outline: Introduction to biomolecular simulation Coarse-grained and atomistic simulation strategies Automated setup for simulation HPC specifics: Large scale parallelization, use of GPU’s Storage and strategies for large scale trajectory analysis Learning Outcomes: Setup, execute, and analyze standard simulations in HPC environment Level: (All courses are designed for specialists with at least 1st cycle degree or similar background experience) INTERMEDIATE: for trainees with some theoretical and practical knowledge. Course Program Outline: TBA     https://events.prace-ri.eu/event/764/ 2019-03-14 08:00:00 UTC 2019-03-15 17:00:00 UTC [] [] [] workshops_and_courses [] []

  • Fortran for Scientific Computing @ HLRS

    6 - 10 May 2019

    Fortran for Scientific Computing @ HLRS https://tess.elixir-europe.org/events/fortran-for-scientific-computing-hlrs-1eea0cf9-97bc-4560-aff3-896bc194648b Overview This course is dedicated to scientists and students to learn (sequential) programming with Fortran of scientific applications. The course teaches newest Fortran standards. Hands-on sessions will allow users to immediately test and understand the language constructs. This workshop provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves. Only the last three days of this course are sponsored by the PATC project. For further information and registration please visit the HLRS course page. https://events.prace-ri.eu/event/808/ 2019-05-06 06:30:00 UTC 2019-05-10 13:30:00 UTC [] [] [] workshops_and_courses [] []

  • Spring School in Computational Chemistry 2019 @ CSC

    19 - 22 March 2019

    Spring School in Computational Chemistry 2019 @ CSC https://tess.elixir-europe.org/events/spring-school-in-computational-chemistry-2019-csc Description The Spring School provides a comprehensive, tutorial-style, hands-on, introductory and intermediate-level treatment to the essential ingredients for molecular modeling and computational chemistry using modern supercomputers. The School program is being prepared, but the main content will be similar to last years and consists of: Classical molecular dynamics, intro + hands on (1 day) Electronic structure theory, intro  + hands on (1 day) Machine learning in chemistry, intro + hands on Special topics: e.g. on Visualization, Enchanced Sampling Techniques, etc. The school is a must for graduate students in the field, providing an overview on "what can be calculated and how should it be done", without forgetting the important aspect of network building. Note: the School has been overbooked in one week after registration was opened. We are investigating the possibility to accommodate more participants, but it is likely that new registrations will go to waiting list. Learning outcome The learning outcome is to gain an overview of the two main methods in computational chemistry — molecular dynamics and electronic structure calculations — in connection with related HPC software packages and other useful skills in the trade. The workshop is also suited for an intensive crash course (the first two days) in computational modelling and is expected to be useful for students and researchers also in physics, materials sciences and biosciences. The following "Special topics" then build on this foundation. Prerequisites Working knowledge and some work experience from some branch of computational chemistry will be useful. Basic linux skills for hands-on exercises and elementary Python for Machine Learning hands-on. More detailed description of pre-requisites and links for self study. Programme See tentative timetable on the left menu, browse 2018 materials or comments from participants in 2018. Lecturers:  Dr. Filippo Federici Canova, Aalto University, Finland Dr. Mikael Johansson, University of Helsinki, Finland Marc Jäger, Aalto University, Finland Dr. Luca Monticelli, IBCP (CNRS), Lyon, France Dr. Michael Patzschke, Helmholtz-Zentrum Dresden-Rossendorf, Germany Prof. Patrick Rinke, Aalto University, Finland to be continued Dr. Martti Louhivuori, CSC - IT Center for Science, Finland Dr. Atte Sillanpää, CSC - IT Center for Science, Finland Dr. Nino Runeberg, CSC- IT Center for Science, Finland Language:  English Price:         Free of charge https://events.prace-ri.eu/event/786/ 2019-03-19 07:00:00 UTC 2019-03-22 13:00:00 UTC [] [] [] workshops_and_courses [] []

  • Advanced Topics in High Performance Computing @ LRZ

    18 - 21 March 2019

    Advanced Topics in High Performance Computing @ LRZ https://tess.elixir-europe.org/events/advanced-topics-in-high-performance-computing-lrz-cfe82cd6-32b5-4187-b72a-b90b2c55c36d In this add-on course to the parallel programming course special topics are treated in more depth, in particular performance analysis, I/O and PGAS concepts. It is provided in collaboration of Erlangen Regional Computing Centre (RRZE) and LRZ within KONWIHR. The course is a PRACE Training event. Each day is comprised of approximately 5 hours of lectures and 2 hours of hands-on sessions. Tentative schedule: Day 1 (09:00-17:00) Processor-Specific Optimization (Eitzinger) Day 2 (09:00-17:00) 09:00-12:30 Parallel I/O with MPI IO (N.N.) 13:30-14:30 SuperMUC Tour (Weinberg) 14:30-17:00 Tuning I/O on LRZ's HPC systems / I/O Profiling: Darshan tool (Mendez) Day 3 (09:00-17:00) 09:00-12:30 Scientific Data Libraries: HDF5 / Scalable I/O library: SIONlib (Mendez) 13:30 - 17:00 Advanced OpenMP Programming (Weinberg) Day 4 (09:00-17:00) PGAS programming with coarray Fortran and Unified Parallel C (Bader) https://events.prace-ri.eu/event/822/ 2019-03-18 08:00:00 UTC 2019-03-21 16:00:00 UTC [] [] [] workshops_and_courses [] []

  • Introduction to CUDA Programming @ BSC

    8 - 11 April 2019

    Introduction to CUDA Programming @ BSC https://tess.elixir-europe.org/events/introduction-to-cuda-programming-bsc-865fc5e1-a20d-4615-a4ea-a964fcd15bf5 The registration to this course is now open. All PATC Courses at BSC do not charge fees. PLEASE BRING YOUR OWN LAPTOP. Local Web Page: This course will provide very good introduction to the PUMPS Summer School run jointly with NVIDIA -also  at Campus Nord, Barcelona. For further information visit the school website  as this school has attendee selection process. You may also be interested in our Introduction to OpenACC course. Convener:  Antonio Peña, Computer Sciences Senior Researcher, Accelerators and Communications for High Performance Computing, BSC Objectives:  The aim of this course is to provide students with knowledge and hands-on experience in developing applications software for processors with massively parallel computing resources. In general, we refer to a processor as massively parallel if it has the ability to complete more than 64 arithmetic operations per clock cycle. Many commercial offerings from NVIDIA, AMD, and Intel already offer such levels of concurrency. Effectively programming these processors will require in-depth knowledge about parallel programming principles, as well as the parallelism models, communication models, and resource limitations of these processors. Agenda: DAY 1 Session 1 / 9:00am – 1:00 pm (3:30 h lectures) L1 9:00-10:45 The GPU hardware: Many-core Nvidia developments 10:45-11:15 Coffee break L2 11:15-13:00 CUDA Programming: Threads, blocks, kernels, grids 13:00-14:00 Lunch break   Session 2 / 2:00pm – 6:00 pm (3:30 h lectures) L3 14:00-15:45 CUDA Tools: Compiling, debugging, profiling, occupancy calculator 15:45-16:15 Coffee break L4 16:15-18:00 CUDA Examples(1): VectorAdd, Stencil, ReverseArray   DAY 2 Session 3 / 9:00am – 1:00 pm (3:30 h lectures) L5   9:00-10:45 CUDA Examples (2): Matrices Multiply. Assorted optimizations 10:45-11:15 Coffee break L6 11:15-13:00 CUDA Examples (3): Dynamic parallelism, Hyper-Q, unified memory 13:00-14:00 Lunch break   Session 4 / 2:00pm – 6:00 pm (3:30 h practical) H1 14:00-15:45 Hands-on Lab 1 15:45-16:15 Coffee break H2 16:15-18:00 Hands-on Lab 2   DAY 3 Session 5 / 9:00am – 1:00 pm (3:30 h lectures) L7 9:00-10:45 Inside Pascal: Multiprocessors, stacked memory, NV-link 10:45-11:15 Coffee break L8 11:15-13:00 OpenACC and other approaches to GPU computing 13:00-14:00 Lunch break   Session 6 / 2:00pm – 6:00 pm (3:30 h practical) H3 14:00-15:45 Hands-on Lab 3 15:45-16:15 Coffee break H4 16:15-18:00 Hands-on Lab 4   DAY 4 Session 7 / 9:00am – 1:00 pm (3:30 h practical) H5 9:00-10:45 Hands-on Lab 5 10:45-11:15 Coffee break H6 11:15-13:00 Hands-on Lab 6 13:00-14:00 Lunch break   Session 8 / 2:00pm – 6:00 pm (3:30 h practical) H7 14:00-15:45 Hands-on Lab 7  15:45-16:15 Coffee break H8 16:15-18:00 Free Hands-on Lab End of Course The target audiences of the course are students who want to develop exciting applications for these processors, as well as those who want to develop programming tools and future implementations for these processors. Level: INTERMEDIATE: for trainees with some theoretical and practical knowledge; those who finished the beginners course ADVANCED: for trainees able to work independently and requiring guidance for solving complex problems Prerequisites: Basics of C programming and concepts of parallel processing will help, but are not critical to follow the lectures. https://events.prace-ri.eu/event/768/ 2019-04-08 07:00:00 UTC 2019-04-11 16:00:00 UTC [] [] [] workshops_and_courses [] []

  • Introduction to Hybrid Programming in HPC @ LRZ

    28 - 29 January 2019

    Introduction to Hybrid Programming in HPC @ LRZ https://tess.elixir-europe.org/events/introduction-to-hybrid-programming-in-hpc-lrz-112b005c-321c-495b-be52-91b7f62fe4a4 Overview Most HPC systems are clusters of shared memory nodes. Such SMP nodes can be small multi-core CPUs up to large many-core CPUs. Parallel programming may combine the distributed memory parallelization on the node interconnect (e.g., with MPI) with the shared memory parallelization inside of each node (e.g., with OpenMP or MPI-3.0 shared memory). This course analyzes the strengths and weaknesses of several parallel programming models on clusters of SMP nodes. Multi-socket-multi-core systems in highly parallel environments are given special consideration. MPI-3.0 has introduced a new shared memory programming interface, which can be combined with inter-node MPI communication. It can be used for direct neighbor accesses similar to OpenMP or for direct halo copies, and enables new hybrid programming models. These models are compared with various hybrid MPI+OpenMP approaches and pure MPI. Numerous case studies and micro-benchmarks demonstrate the performance-related aspects of hybrid programming. Hands-on sessions are included on both days. Tools for hybrid programming such as thread/process placement support and performance analysis are presented in a "how-to" section. This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves. The course is a PRACE Advanced Training Center event. It is organized by LRZ in cooperation with HLRS, RRZE, and VSC (Vienna Scientific Cluster). Agenda & Content (preliminary) 1st day 09:30 Registration 10:00 Welcome 10:05 Motivation 10:15 Introduction 10:45 Programming Models            - Pure MPI 11:15 Coffee Break 11:35  - Topology Optimization 12:00    Practical (application aware Cartesian topology) 13:00 Lunch 14:00  - MPI + MPI-3.0 Shared memory 14:45    Practical (replicated data) 15:30 Coffee Break 15:50  - MPI Memory Models and Synchronization 16:50    Practical (substituting pt-to-pt by shared memory) 17:30    Practical (substituting barrier synchronization by pt-to-pt) 18:00 End Social Event (self paying) 2nd day 09:00 Programming Models (continued)            - MPI + OpenMP 10:00     Practical (how to compile and start) 10:30 Coffee Break 10:50  - Example with Jacobi Solver 11:00     Practical (hybrid through OpenMP parallelization) 13:00 Lunch 14:00  - Overlapping Communication and Computation 14:20     Practical (taskloops)  15:00 Coffee Break 15:20  - MPI + OpenMP Conclusions 15:30  - MPI + Accelerators 15:45 Tools 16:00 Conclusions 16:15 Q&A 16:30 End https://events.prace-ri.eu/event/807/ 2019-01-28 08:30:00 UTC 2019-01-29 15:30:00 UTC [] [] [] workshops_and_courses [] []

  • Performance portability for GPU application using high-level programming approaches @ MdlS /Idris

    1 - 2 April 2019

    Performance portability for GPU application using high-level programming approaches @ MdlS /Idris https://tess.elixir-europe.org/events/performance-portability-for-gpu-application-using-high-level-programming-approaches-mdls-idris-e05a2681-bd72-4aea-9ea1-7fa210925446 When developing a numerical simulation code with high performance and efficiency in mind, one is often compelled to accept a trade-off between using a native-hardware programming model (like CUDA or OpenCL), which has become tremendously challenging, and loosing some cross-platform portability. Porting a large existing legacy code to a modern HPC platform, and developing a new simulation code, are two different tasks that may be benefit from a high-level programming model, which abstracts the low-level hardware details. This training presents existing high-level programming solutions that can preserve at best as possible performance, maintainability and portability across the vast diversity of modern hardware architectures (multicore CPU, manycore, GPU, ARM, ..) and software development productivity. We will  provide an introduction to the high-level C++ programming model Kokkos https://github.com/kokkos, and show basic code examples  to illustrate the following concepts through hands-on sessions: hardware portability: design an algorithm once and let the Kokkos back-end (OpenMP, CUDA, ...) actually derive an efficient low-level implementation; efficient architecture-aware memory containers: what is a Kokkos::view; revisit fundamental parallel patterns with Kokkos: parallel for, reduce, scan, ... ; explore some mini-applications. Several detailed examples in C/C++/Fortran will be used in hands-on session on the high-end hardware platform Ouessant (http://www.idris.fr/ouessant/), equipped with Nvidia Pascal GPUs. Prerequisites: Some basic knowledge of the CUDA programming model and of C++. https://events.prace-ri.eu/event/818/ 2019-04-01 07:30:00 UTC 2019-04-02 15:00:00 UTC [] [] [] workshops_and_courses [] []

  • Heterogeneous Programming on FPGAs with OmpSs@FPGA

    24 May 2019

    Heterogeneous Programming on FPGAs with OmpSs@FPGA https://tess.elixir-europe.org/events/heterogeneous-programming-on-fpgas-with-ompss-fpga The registration of this course will open in February. Please, bring your own laptop.  All the PATC courses at BSC are free of charge. Course convener: Xavier Martorell Objectives:This tutorial will introduce the audience to the BSC tools for heterogenous programming on FPGA devices. It describes OmpSs@FPGA, as a productive programming environment for compute systems with FPGAs. More specifically, the tutorial will: Introduce the OmpSs@FPGA programming model, how to write, compile and execute applications on FPGAs Show the "implements" feature to explot parallelism across cores and IP cores Demonstrate how to analyze applications to determine which portions can be executed on FPGAs, and use OmpSs@FPGA to parallelize/optimize them. Learning Outcomes: The students who finish this course will be able to develop benchmarks and simple applications with the OmpSs@FPGA programming model to be executed in FPGA boards, like Zedboard or Xilinx ZCU102. Level: INTERMEDIATE: for trainees with some theoretical and practical knowledge; those who finished the beginners course ADVANCED: for trainees able to work independently and requiring guidance for solving complex problems Requirements:  Good knowledge of C/C++ Basic knowledge of acceleration architectures and offloading models Basic knowledge of Paraver/Extrae Agenda: Session 1 / 9:30am – 1:00 pm  (2 h lectures, 1:30 h practical) 09.30h – Global view of OmpSs@FPGA 10:30h - Instrumentation facilities and performance analysis 11.00h - Compilation and toolchain 11:30h - Hands-on: OmpSs@FPGA installation and setup 12:00h - Hands-on: Case study: vector multiplication 13.00h – Lunch Break Session 2 / 2:00pm – 5:30 pm (0:30 h lectures, 3 h practical) 14.00h – Hands-on: Case study: matrix multiply 15:00h - Hands-on: Heterogeneous programming using "implements" 16.30h – Hands-on: Bring your application. Study, initial analysis and recommendations 17:30h - Adjourn   END of COURSE https://events.prace-ri.eu/event/767/ 2019-05-24 07:30:00 UTC 2019-05-24 15:30:00 UTC [] [] [] workshops_and_courses [] []

  • Big Data Analytics @ BSC

    5 - 8 February 2019

    Big Data Analytics @ BSC https://tess.elixir-europe.org/events/big-data-analytics-bsc-259ac7f9-7780-44d6-82f8-fdf33e6037d8 Registration is now open. Please, bring your own laptop. All the PATC courses at BSC are free of charge. Course Convener:  Maria-Ribera Sancho Objectives: The course brings together key information technologies used in manipulating, storing, and analysing data including: the basic tools for statistical analysis techniques for parallel processing tools for access to unstructured data storage solutions Learning outcomes: Students will be introduced to systems that can accept, store, and analyse large volumes of unstructured data. The learned skills can be used in data intensive application areas. Level: For trainees with some theoretical and practical knowledge AGENDA:  TBA       https://events.prace-ri.eu/event/761/ 2019-02-05 08:30:00 UTC 2019-02-08 15:30:00 UTC [] [] [] workshops_and_courses [] []

  • HPC for Industry 4.0@Cineca

    21 - 23 May 2019

    HPC for Industry 4.0@Cineca https://tess.elixir-europe.org/events/hpc-for-industry-4-0-cineca Description: The aim of this workshop is to present the state-of-the-art of Industry 4.0 technologies. We will present methods and techniques that might be used to transform a manufacturing plant into a plant 4.0. We will show the relation among High Performance Computing (HPC), Artificial Intelligence (AI), Big Data and visualization: the basic ingredients to create a digital twin of your 4.0 factory. Take in consideration a remote manufacturing plant: a digital twin is a cyber replica of the plant that allows operation technology (OT) to be digitalized permitting a large amount of data from the plant’s sensors to be collected thanks to Internet of Things devices. In addition, since you can analyze the data with HPC, you can also simulate and forecast the plant behaviour.  Furthermore, with AI you can take automatic decisions to optimize the production and the Industry management can visualize with a convenient dashboard or with virtual reality what is happening in real time in the remote plant.  The workshop will take place in three days, the first two will present examples and success stories of applications and methodologies of the cited topics and in the last day laboratory and hands-on experiences will be done. The initiative aims to involve industrial and academic participants to create a collaborative environment where will be possible to share industrial needs and find possible solutions. The first two days will not require any specific technical background, while for the third a minimum of knowledge on programming is beneficial. Skills : By the end of the workshop each participants should be able to know technologies involved in Industry 4.0 and  possible applications. Target Audiance : Academic and Industrial researcher and technical management Pre-requisites : The first two days will not require any specific technical background, while for the third a minimum of knowledge on programming is beneficial. https://events.prace-ri.eu/event/834/ 2019-05-21 07:00:00 UTC 2019-05-23 15:00:00 UTC [] [] [] workshops_and_courses [] []

  • Parallel and Scalable Machine Learning @ JSC

    25 - 27 February 2019

    Parallel and Scalable Machine Learning @ JSC https://tess.elixir-europe.org/events/parallel-and-scalable-machine-learning-jsc-424a6e5f-64a6-471e-af99-5b940b60a8a4 The course offers basics of analyzing data with machine learning and data mining algorithms in order to understand foundations of learning from large quantities of data. This course is especially oriented towards beginners that have no previous knowledge of machine learning techniques. The course consists of general methods for data analysis in order to understand clustering, classification, and regression. This includes a thorough discussion of test datasets, training datasets, and validation datasets required to learn from data with a high accuracy. Easy application examples will foster the theoretical course elements that also will illustrate problems like overfitting followed by mechanisms such as validation and regularization that prevent such problems. The tutorial will start from a very simple application example in order to teach foundations like the role of features in data, linear separability, or decision boundaries for machine learning models. In particular this course will point to key challenges in analyzing large quantities of data sets (aka ‘big data’) in order to motivate the use of parallel and scalable machine learning algorithms that will be used in the course. The course targets specific challenges in analyzing large quantities of datasets that cannot be analyzed with traditional serial methods provided by tools such as R, SAS, or Matlab. This includes several challenges as part of the machine learning algorithms, the distribution of data, or the process of performing validation. The course will introduce selected solutions to overcome these challenges using parallel and scalable computing techniques based on the Message Passing Interface (MPI) and OpenMP that run on massively parallel High Performance Computing (HPC) platforms. The course ends with a more recent machine learning method known as deep learning that emerged as a promising disruptive approach, allowing knowledge discovery from large datasets in an unprecedented effectiveness and efficiency. Prerequisites: Knowledge on job submissions to large HPC machines using batch scripts, knowledge of mathematical basics in linear algebra helpful. Participants should bring their own notebooks (with an ssh-client). Learning outcome: After this course participants will have a general understanding how to approach data analysis problems in a systematic way. In particular this course will provide insights into key benefits of parallelization such as during the n-fold cross-validation process where significant speed-ups can be obtained compared to serial methods. Participants will also get a detailed understanding why and how parallelization provides benefits to a scalable data analyzing process using machine learning methods for big data and a general understanding for which problems deep learning algorithms are useful and how parallel and scalable computing is facilitating the learning process when facing big datasets. Participants will learn that deep learning can actually perform ‘feature learning’ that bears the potential to significantly speed-up data analysis processes that previously required much feature engineering. Application Applicants will be notified one month before the course starts, whether they are accepted for participitation. Instructors: Prof. Dr. Morris Riedel, Dr. Gabriele Cavallaro, JSC Contact For any questions concerning the course please send an e-mail to g.cavallaro@fz-juelich.de. https://events.prace-ri.eu/event/817/ 2019-02-25 08:00:00 UTC 2019-02-27 15:30:00 UTC [] [] [] workshops_and_courses [] []

  • Performance Analysis and Tools @ BSC

    20 - 21 May 2019

    Performance Analysis and Tools @ BSC https://tess.elixir-europe.org/events/performance-analysis-and-tools-bsc-8d57b32e-7545-4c9f-8c7d-68fffe1ed7b7 The registration to this course will open in February. Please, bring your own laptop.  All the PATC courses at BSC are free of charge. Course convener: Judit Gimenez, Tools Group Manager, Computer Sciences - Performance Tools, BSC Objectives: The objective of this course is to learn how Paraver and Dimemas tools can be used to analyze the performance of parallel applications and to familiarize with the tools usage as well as instrumenting applications with Extrae. Learning Outcomes:The students who finish this course will have a basic knowledge on the usage of the BSC performance tools. They will be able to apply the same methodology to their applications, identifying potential bottlenecks and getting hints on how to improve the applications performance. Level:  INTERMEDIATE - for trainees with some theoretical and practical knowledge. (All courses are designed for specialists with at least finished 1st cycle degree) Prerequisites: Good knowledge of C/C++ Basic knowledge of CUDA/OpenCL Basic knowledge of MPI, OpenMP Course Outline: Day 1 (May, 20)   Session 1 / 9:30am - 1 pm (1:30 h lectures, 1:30 h practical) 1. Introduction to Paraver 2. Paraver demo Coffee Break (11:00h-11:30h) 3. Extrae and Paraver guided hands-on Lunch Break (13:00h-14:00h)   Session 2 / 2 pm- 5:30pm (3 h practical) Paraver Hands-on Coffee Break (16:00h-16:15h)   Day 2 (May, 21)   Session 3 / 9:30am- 1 pm 1. Performance Analytics (3 h lectures) Coffee Break (11:00h-11:30h) 2. Introduction to Dimemas Lunch Break (13:00h-14:00h)   Session 4 / 2 pm- 5:30 pm (3 h practical) 1. Tools Hands-on Coffee Break (16:00h-16:15h) 2. Students knowledge test END of COURSE https://events.prace-ri.eu/event/766/ 2019-05-20 07:30:00 UTC 2019-05-21 15:30:00 UTC [] [] [] workshops_and_courses [] []

  • Node-Level Performance Engineering @ HLRS

    27 - 28 June 2019

    Node-Level Performance Engineering @ HLRS https://tess.elixir-europe.org/events/node-level-performance-engineering-hlrs-9fa9fd8a-10c4-41bc-afab-5697ace21b4d Overview This course teaches performance engineering approaches on the compute node level. "Performance engineering" as we define it is more than employing tools to identify hotspots and bottlenecks. It is about developing a thorough understanding of the interactions between software and hardware. This process must start at the core, socket, and node level, where the code gets executed that does the actual computational work. Once the architectural requirements of a code are understood and correlated with performance measurements, the potential benefit of optimizations can often be predicted. We introduce a "holistic" node-level performance engineering strategy, apply it to different algorithms from computational science, and also show how an awareness of the performance features of an application may lead to notable reductions in power consumption.This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves. For further information and registration please visit the HLRS course page. https://events.prace-ri.eu/event/842/ 2019-06-27 07:00:00 UTC 2019-06-28 15:00:00 UTC [] [] [] workshops_and_courses [] []

  • Concepts of GASPI and interoperability with other communication APIs @ HLRS

    1 - 2 July 2019

    Concepts of GASPI and interoperability with other communication APIs @ HLRS https://tess.elixir-europe.org/events/concepts-of-gaspi-and-interoperability-with-other-communication-apis-hlrs Overview In this tutorial we present an asynchronous data flow programming model for Partitioned Global Address Spaces (PGAS) as an alternative to the programming model of MPI. GASPI, which stands for Global Address Space Programming Interface, is a partitioned global address space (PGAS) API. The GASPI API is designed as a C/C++/Fortran library and focused on three key objectives: scalability, flexibility and fault tolerance. In order to achieve its much improved scaling behaviour GASPI aims at asynchronous dataflow with remote completion, rather than bulk-synchronous message exchanges. GASPI follows a single/multiple program multiple data (SPMD/MPMD) approach and offers a small, yet powerful API (see also http://www.gaspi.de and http://www.gpi-site.com). GASPI is successfully used in academic and industrial simulation applications. Hands-on sessions (in C and Fortran) will allow users to immediately test and understand the basic constructs of GASPI. This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves. For further information and registration please visit the HLRS course page. https://events.prace-ri.eu/event/810/ 2019-07-01 07:00:00 UTC 2019-07-02 13:30:00 UTC [] [] [] workshops_and_courses [] []

  • Introduction to Molecular Modelling (materials and bio) and Molecular dynamics in HPC @GRNET

    4 - 5 February 2019

    Introduction to Molecular Modelling (materials and bio) and Molecular dynamics in HPC @GRNET https://tess.elixir-europe.org/events/introduction-to-molecular-modelling-materials-and-bio-and-molecular-dynamics-in-hpc-grnet Introduction to Biomolecular modelling and Molecular dynamics in HPC (Classical and Quantum) 4 - 5 February 2019 Purpose of the course The purpose of this course is to present to existing and potential users of Molecular Dynamics packages the method, the necessary steps for a successful simulation, common practices, common mistakes. The steps for a complete simulation workflow i.e. system setup up to final properties evaluation will be presented using popular software packages. Outcomes After the course the participants should be able to efficiently use their prefered MD application (i.e. NAMD, GROMACS, LAMMPS, CP2K), for molecular modelling and molecular dynamics simulations,  how to create configuration files based on their needs, tuning the models, how to efficiently use the resources based on the simulation details, avoid common mistakes. Prerequisites Background in Physics/Chemistry/Biology. Programming skills, aware of Parallel environments. Bring your own laptop in order to be able to participate in the training hands on. Hands on work will be done in pairs so if you don’t have a laptop you might work with a colleague. Course language is English. Registration Registrations will be evaluated on a first-come, first-served basis. GRNET is responsible for the selection of the participants on the basis of the training requirements and the technical skills of the candidates. GRNET will also seek to guarantee the maximum possible geographical coverage with the participation of candidates from many countries. Venue GRNET headquarters Address: 2nd  Floor, 7, Kifisias Av. GR 115 23 Athens Information on how to reach GRNET headquarters ia available on GRNET website: https://grnet.gr/en/contact-us/   Accommodation options near GRNET can be found at: https://grnet.gr/wp-content/uploads/sites/13/2015/11/Hotels-near-GRNET-en.pdf ARIS - System Information ARIS is the name of the Greek supercomputer, deployed and operated by GRNET (Greek Research and Technology Network) in Athens. ARIS consists of 532 computational nodes seperated in four “islands” as listed here: 426 thin nodes: Regular compute nodes without accelerator. 44 gpu nodes: “2 x NVIDIA Tesla k40m” accelerated nodes. 18 phi nodes: “2 x INTEL Xeon Phi 7120p” accelerated nodes. 44 fat nodes: Fat compute nodes have larger number of cores and memory per core than a thin node. All the nodes are connected via Infiniband network and share 2PB GPFS storage.The infrastructure also has an IBM TS3500 library of maximum storage capacity of about 6 PB. Access to the system is provided by two login nodes. About Tutors Dr. Zoe Cournia (female) is a Researcher – Assistant Professor level at the Biomedical Research Foundation, Academy of Athens, where she works on anticancer drug design, design of drug delivery systems and biomolecular modeling using computational techniques. She graduated from the Chemistry Department, University of Athens in 2001 and completed her PhD at the University of Heidelberg in Germany in 2006. She then worked as a postdoctoral researcher at the Chemistry Department, Yale University, USA, on computer-aided drug design and in 2009 she became a lecturer at Yale College. She has been awarded the American Association for Cancer Research Angiogenesis Fellowship (2008), the "Woman of Innovation 2009" Award from the Connecticut Technology Council, USA, the Marie Curie Fellowship from the European Union (2010), the "Outstanding Junior Faculty Award" from the American Chemical Society (2014) and the first "Ada Lovelace Award" from the "Partnership for Advanced Computing in Europe" (2016). She is currently teaching at the Master’s program “Information Technologies in Technology and Medicine” at the Department of Informatics and Telecommunications, National University of  Athens. Dr. Dimitris Tsalikis (male) is a Research Associate at the Department of Chemical Engineering in the University of Patras. His research focuses on the physicochemical characterization and the rheology of polymers, polymer nanocomposites, nanofluidics and formulations via atomistic and mesoscopic simulations and to this he develops novel parallel computational methodologies. He received his Diploma in Chemical Engineering from the University of Patras in 2004 and his Ph.D. (titled: “Computational study of structural relaxation and plastic deformation of glassy polymers”) from the National Technical University of Athens in 2009 under the advisement of Prof. Doros N. Theodorou. In 2011 he joined the research team of Prof. Vlasis Mavrantzas in Patras as a Research Associate. Dr. Tsalikis has a solid experience with high performance computing since 2007 being an active user of Tier1 and Tier0 HPC systems available to scientific community under the frameworks of HPC-Europa, PRACE and LinkSCEEM projects. He is currently teaching at the Master’s program “Polymer Science and Technology” at University of Patras.  Dr. Dellis (Male) holds a B.Sc. in Chemistry (1990) and PhD in Computational Chemistry (1995) from the National and Kapodistrian University of Athens, Greece. He has extensive HPC and grid computing experience. He was using HPC systems in computational chemistry research projects on fz-juelich machines (2003-2005). He received an HPC-Europa grant on BSC (2009). In EGEE/EGI projects he acted as application support and VO software manager for SEE VO, grid sites administrator (HG-02, GR-06), NGI_GRNET support staff (2008-2014). In PRACE 1IP/2IP/3IP/4IP/5IP he was involved in benchmarking tasks either as group member or as BCO (2010-2017). Currently he holds the position of “Senior HPC Applications Support Engineer” at GRNET S.A. where he is responsible for activities related to user consultations, porting, optimization and running HPC applications at national and international resources. Dr Aristeidis Sotiropoulos received his BSc in Computer Science in 1998 from the University of Crete, Greece and his PhD in Parallel Processing and Cluster Computing in 2004 from the National Technical University of Athens, Greece. His interests mainly focus on the fields of Large Scale Computing & Storage Systems, System Software for Scalable High Speed Interconnects for Computer Clusters and Advanced Microprocessor Architectures. He has published several scientific papers in international journals and conference proceedings. He has received the IEEE IPDPS 2001 best paper award for the paper "Minimizing Completion Time for Loop Tiling with Computation and Communication Overlapping". He has worked in several European and National R&D programs in the field of High Performance Computing, Grid Computing, Cloud Computing and Storage. In 2013, he was appointed as the Head of Operations and Financial Management Services, in charge of 15 people. Currently, he is managing EC projects at GRNET SA, the Greek NREN responsible for the provision of advanced e-infrastructure services to the Greek Academic and Research Community. About GRNET GRNET provides Internet connectivity, high-quality e-Infrastructures and advanced services to the Greek Educational, Academic and Research community. Through its high-speed, high-capacity infrastructure that spans across the entire country, GRNET interconnects more than 150 institutions, including all universities and technological institutions, as well as many research institutes and the public Greek School Network. GRNET operates the National High Performance Computing system (a Tier-1 in the European HPC ecosystem) and offers user and application support services, that provide Greek scientists with the computing infrastructure and expertise they need for their research enabling them to perform large scale simulations. GRNET offers innovative IaaS cloud computing services to the Greek and global research & education communities: “ ~okeanos” and “okeanos global” allow users to create multi-layer virtual infrastructure and instantiate virtual computing machines, local networks to interconnect them, and a reliable storage space within seconds, with few, simple mouse clicks. GRNET aims at contributing towards Greece’s Digital Convergence with the EU, by supporting the development and encouraging the use of e-Infrastructures and services. The right and timely planning strategies, together with the long experience and know-how of its people, guarantee the continuation and enhancement of GRNET’s successful course. Greek Research and Technology Network – Networking Reserach and Education: www.grnet.gr, hpc.grnet.gr https://events.prace-ri.eu/event/795/ 2019-02-04 08:00:00 UTC 2019-02-05 16:00:00 UTC [] [] [] workshops_and_courses [] []

  • Node-Level Performance Engineering @ LRZ

    20 - 21 February 2019

    Node-Level Performance Engineering @ LRZ https://tess.elixir-europe.org/events/node-level-performance-engineering-lrz-9d1ccd4c-855b-4ad3-b4a1-44a0054656c5 This course teaches performance engineering approaches on the compute node level. "Performance engineering" as we define it is more than employing tools to identify hotspots and bottlenecks. It is about developing a thorough understanding of the interactions between software and hardware. This process must start at the core, socket, and node level, where the code gets executed that does the actual computational work. Once the architectural requirements of a code are understood and correlated with performance measurements, the potential benefit of optimizations can often be predicted. We introduce a "holistic" node-level performance engineering strategy, apply it to different algorithms from computational science, and also show how an awareness of the performance features of an application may lead to notable reductions in power consumption. The course is a PRACE training event. Introduction Our approach to performance engineering Basic architecture of multicore systems: threads, cores, caches, sockets, memory The important role of system topology Tools: topology & affinity in multicore environments Overview likwid-topology and likwid-pin Microbenchmarking for architectural exploration Properties of data paths in the memory hierarchy Bottlenecks OpenMP barrier overhead Roofline model: basics Model assumptions and construction Simple examples Limitations of the Roofline model Pattern-based performance engineering Optimal use of parallel resources Single Instruction Multiple Data (SIMD) Cache-coherent Non-Uniform Memory Architecture (ccNUMA) Simultaneous Multi-Threading (SMT) Tools: hardware performance counters Why hardware performance counters? likwid-perfctr Validating performance models Roofline case studies Dense matrix-vector multiplication Sparse matrix-vector multiplication Jacobi (stencil) smoother Optional: The ECM performance model https://events.prace-ri.eu/event/821/ 2019-02-20 08:00:00 UTC 2019-02-21 16:00:00 UTC [] [] [] workshops_and_courses [] []

  • DAVIDE OpenPower GPU cluster@Cineca

    6 - 7 May 2019

    DAVIDE OpenPower GPU cluster@Cineca https://tess.elixir-europe.org/events/davide-openpower-gpu-cluster-cineca Description: D.A.V.I.D.E. (Development of an Added Value Infrastructure Designed in Europe) is an energy-aware Petaflops Class High Performance Cluster based on IBM Power Architecture and coupled with NVIDIA Tesla Pascal GPUs with NVLink. The innovative design of DAVIDE has  the aim of providing a leading edge HPC cluster showing higher performance, reduced power consumption and ease of use.  A key technology of the architecture, developed in collaboration with the University of Bologna, is an innovative infrastructure for measuring, monitoring and capping the power consumption of the node and of the whole system, as well as the presence of last release GPUs. In this course we describe in more details the DAVIDE architecture and its production environment, with the help of uses cases in fields such as materials science and energy production , illustrate the new opportunities available to users thanks to the introduction of this system into the Cineca HPC infrastructure. Skills: By the end of the course, participants will be expected to: have a good understanding of the technologies employed in the DAVIDE HPC supercomputer recognize the types of problem and application particularly suited to the cluster understand how the energy monitoring system can be used to improve the energy efficiency of applications Target Audience: Researchers who may wish to use the cluster in the future for their research or simply those interested in the evolving field of new architectures for HPC and energy monitoring in HPC. Grant The course is FREE of charge. The lunch for the three days will be offered to all the participants and some grants are available. The only requirement to be eligible is to be not funded by your institution to attend the course and to work or live in an institute outside the Roma area. The grant  will be 200 euros for students working and living outside Italy and 100 euros for students working and living in Italy (except Rome area). Some documentation will be required and the grant will be paid only after a certified presence of minimum 80% of the lectures. Further information about how to request the grant, will be provided at the confirmation of the course: about 3 weeks before the starting date.   https://events.prace-ri.eu/event/835/ 2019-05-06 07:00:00 UTC 2019-05-07 15:00:00 UTC [] [] [] workshops_and_courses [] []

  • GPU Programming with CUDA @ JSC

    1 - 3 April 2019

    GPU Programming with CUDA @ JSC https://tess.elixir-europe.org/events/gpu-programming-with-cuda-jsc-5b4c9199-55c1-44b6-b1df-7b7f28804105 GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GPUs offers high application performance by offloading compute-intensive portions of the code to an NVIDIA GPU. The course will cover basic aspects of GPU architectures and programming. Focus is on the usage of the parallel programming language CUDA-C which allows maximum control of NVIDIA GPU hardware. Examples of increasing complexity will be used to demonstrate optimization and tuning of scientific applications. Topics covered will include: Introduction to GPU/Parallel computing Programming model CUDA GPU libraries like CuBLAS and CuFFT Tools for debugging and profiling Performance optimizations Prerequisites: Some knowledge about Linux, e.g. make, command line editor, Linux shell, experience in C/C++ Application Registrations are only considered until 28 February 2018 due to available space, the maximal number of participants is limited. Applicants will be notified, whether they are accepted for participitation. Instructors: Dr. Jan Meinke, Jochen Kreutz, Dr. Andreas Herten, JSC; Jiri Kraus, NVIDIA Contact For any questions concerning the course please send an e-mail to j.meinke@fz-juelich.de https://events.prace-ri.eu/event/823/ 2019-04-01 07:00:00 UTC 2019-04-03 14:30:00 UTC [] [] [] workshops_and_courses [] []

  • Data Management Plan @ MdlS/CINES

    6 - 8 February 2019

    Data Management Plan @ MdlS/CINES https://tess.elixir-europe.org/events/data-management-plan-mdls-cines Objective of the session: In the context of scientific research, Data Management Plans (DMP) are increasingly requested by project funders to describe the data lifecycle of projects from the craddle to the grave. The main difficulty is to fully understand what is exactly required to build such a document. The aim of this training is to assist researchers in putting together their own DMP, first by describing the important concepts to know before starting to draft one, then by having practical work sessions during which their own plan will be drafted with the support of experts. Day 1 : afternoon : Introduction, DMP + FAIR in theory, tools ; Day 2 : morning : Long term preservation (metadata, formats, principles),  DMP hands on ; afternoon : DMP hands on ; Day 3 : morning : EOSC-hub services, CINES visit. Prerequisites:  This training is intended for researchers who have a DMP to build as part of their research project. It is recommended that the participants come with an intended use case for which they need to develop a DMP.  Learning outcomes  Participants will understand the DMP structure and good practices, and have a first experience from a real use-case. Trainers Marjan Grootveld (DANS), Alexia de Casanove et Olivier Rouchon (CINES) https://events.prace-ri.eu/event/813/ 2019-02-06 13:00:00 UTC 2019-02-08 11:00:00 UTC [] [] [] workshops_and_courses [] []

  • Practical Deep Learning @ CSC

    13 - 14 February 2019

    Practical Deep Learning @ CSC https://tess.elixir-europe.org/events/practical-deep-learning-csc Thank you to those of you who have already registered for our PATC "Python in HPC @ CSC" training course! The course is now fully booked! If you have registered to this course and you are not able to attend, please CANCEL your registration in advance by sending an email to patc at csc.fi We have processed a LIMITED WAITING LIST (10 persons max). Please send your request to patc at csc.fi, and we will keep those on the waiting list informed of whether participation will be possible. Please note that registration/wait list is at a first come, first served basis. Welcome to the course! Description This course gives a practical introduction to deep learning, convolutional and recurrent neural networks, GPU computing, and tools to train and apply deep neural networks for natural language processing, images, and other applications. The course consists of lectures and hands-on exercises. Keras (https://keras.io/) and PyTorch (https://pytorch.org/) will be used in the exercise sessions. CSC's Notebooks (https://notebooks.csc.fi/) environment will be used on the first day of the course, and the Taito-GPU (https://research.csc.fi/taito-gpu) cluster on the second day. Learning outcome After the course the participants should have the skills and knowledge needed to begin applying deep learning for different tasks and utilizing the GPU resources available at CSC for training and deploying their own neural networks. Prerequisites The participants are assumed to have working knowledge of Python and suitable background in data analysis, machine learning, or a related field. Previous experience in deep learning is not required, but the fundamentals of machine learning are not covered on this course.  Basic knowledge of a Linux/Unix environment will be assumed. Agenda (tentative) Day 1, Wednesday 13.2    09.00 – 10.30 Lecture: Introduction to deep learning    10.30 – 11.00 Exercises: Introduction to Notebooks, Keras fundamentals    11.00 – 12.00 Lecture: Image data, multi-layer percepton networks, convolutional neural networks    12.00 – 13.00 Lunch    13.00 – 14.00 Exercises: Image classification with MLPs, CNNs    14.00 – 15.00 Lecture: Text data, embeddings, neural NLP, recurrent neural networks    15.00 – 16.00 Exercises: Text sentiment classification with CNNs, RNNs Day 2, Thursday 14.2    09.00 – 10.00 Lecture: GPUs, batch jobs, using Taito-GPU    10.00 – 12.00 Exercises: Image classification    12.00 – 13.00 Lunch    13.00 – 14.00 Exercises: Text categorization and labelling    14.00 – 15.00 Lecture: Cloud, GPU utilization, multiple GPUs    15.00 – 16.00 Exercises: Using multiple GPUs Coffee will be served both for the morning and afternoon sessions Lecturers:  Markus Koskela (CSC),  Mats Sjöberg (CSC)   Language:  English Price:          Free of charge https://events.prace-ri.eu/event/831/ 2019-02-13 07:00:00 UTC 2019-02-14 14:00:00 UTC [] [] [] workshops_and_courses [] []

  • Parallel Programming with MPI and OpenMP @SURFsara

    6 - 8 March 2019

    Parallel Programming with MPI and OpenMP @SURFsara https://tess.elixir-europe.org/events/parallel-programming-with-mpi-and-openmp-surfsara-eeb96613-54d8-4840-afd9-9523550d25ce The 3-days MPI/OpenMP course aims at giving people with some programming experience an introduction into the parallel programming models MPI and OpenMP. It starts on beginners level but also includes advanced features of the current standards. Hands-on sessions (in C and Fortran) will allow users to immediately test and understand the constructs of the Message Passing Interface (MPI) and the shared memory directives of OpenMP. The program will start with OpenMP on the first day, an introduction to MPI on the second day, and the advanced features in MPI-2.0 and MPI-3.0 standard on the third day. https://events.prace-ri.eu/event/828/ 2019-03-06 08:00:00 UTC 2019-03-08 16:00:00 UTC [] [] [] workshops_and_courses [] []

  • OpenMP GPU Directives for Parallel Accelerated Supercomputers - an alternative to CUDA from Cray perspective @ HLRS

    22 - 23 May 2019

    OpenMP GPU Directives for Parallel Accelerated Supercomputers - an alternative to CUDA from Cray perspective @ HLRS https://tess.elixir-europe.org/events/openmp-gpu-directives-for-parallel-accelerated-supercomputers-an-alternative-to-cuda-from-cray-perspective-hlrs-f423be53-abbd-4597-922f-d472b88dd6d2 Overview This workshop will cover the directive-based programming model based on OpenMP v4 whose multi-vendor support allows users to portably develop applications for parallel accelerated supercomputers. It also includes comparison to the predecessor interface OpenACC v2. The workshop will also demonstrate how to use the Cray Programming Environment tools to identify application bottlenecks, facilitate the porting, provide accelerated performance feedback and to tune the ported applications. The Cray scientific libraries for accelerators will be presented, and interoperability of the directives approach with these and with CUDA will be demonstrated. Through application case studies and tutorials, users will gain direct experience of using both OpenMP and OpenACC directives in realistic applications. Users may also bring their own codes to discuss with Cray specialists or begin porting. This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves. For further information and registration please visit the HLRS course page. https://events.prace-ri.eu/event/809/ 2019-05-22 07:00:00 UTC 2019-05-23 14:30:00 UTC [] [] [] workshops_and_courses [] []

  • Heterogeneous Programming on GPUs with MPI + OmpSs @ BSC

    22 - 23 May 2019

    Heterogeneous Programming on GPUs with MPI + OmpSs @ BSC https://tess.elixir-europe.org/events/heterogeneous-programming-on-gpus-with-mpi-ompss-bsc-40ea3185-16fc-41df-bf8e-cceb481d9109 The registration to this course will open in February. Please, bring your own laptop. All the PATC courses at BSC are free of charge. Objectives:  The tutorial will motivate the audience on the need for portable, efficient programming models that put less pressure on program developers while still getting good performance for clusters and clusters with GPUs. More specifically, the tutorial will: Introduce the hybrid MPI/OmpSs parallel programming model for future exascale systems Demonstrate how to use MPI/OmpSs to incrementally parallelize/optimize: MPI applications on clusters of SMPs, and Leverage CUDA kernels with OmpSs on clusters of GPUs Level: INTERMEDIATE: for trainees with some theoretical and practical knowledge; those who finished the beginners course ADVANCED: for trainees able to work independently and requiring guidance for solving complex problems Requirements:  Good knowledge of C/C++ Basic knowledge of CUDA/OpenCL Basic knowledge of Paraver/Extrae Learning Outcomes: The students who finish this course will be able to develop benchmarks and simple applications with the MPI/OmpSs programming model to be executed in clusters of GPUs. https://events.prace-ri.eu/event/650/ 2019-05-22 07:30:00 UTC 2019-05-23 15:30:00 UTC [] [] [] workshops_and_courses [] []

  • Introduction to OpenACC @ BSC

    4 - 5 April 2019

    Introduction to OpenACC @ BSC https://tess.elixir-europe.org/events/introduction-to-openacc-bsc-6b5fe755-572a-40b7-b62e-65213011ef43 The registration to this course is now open. All PATC Courses at BSC do not charge fees. PLEASE BRING YOUR OWN LAPTOP. Local Web Page: This is an expansion of the topic "OpenACC and other approaches to GPU computing" covered on this year's and last year's editions of the Introduction to CUDA Programming. This course will provide very good introduction to the PUMPS Summer School run jointly with NVIDIA -  also  at Campus Nord, Barcelona. For further information visit the school website. Convener: Antonio Peña, Computer Sciences Senior Researcher, Accelerators and Communications for High Performance Computing, BSC Objectives:  As an NVIDIA GPU Center of Excellence, BSC and UPC are deeply involved in research and outreach activities around GPU Computing. OpenACC is a high-level, directive-based programming model for GPU computing. It is a very convenient language to leverage the GPU power with minimal code modifications, being the preferred option for non computer scientists. This course will cover the necessary topics to get started with GPU programming in OpenACC, as well as some advanced topics. The target audiences of the course are students who want to develop exciting applications for these processors, as well as those who want to develop programming tools and future implementations for these processors. Level:  BEGINNERS: for trainees from different background or very little knowledge. Agenda: DAY 1 Session 1 / 9:00am – 1:00 pm (2h lectures, 2 h practical) 9:00 - 10:00 Introduction to OpenACC on x86 CPU and GPU 10:00 - 11:00 Hands-on: Introduction 11:00 - 11:30 Break 11:30 - 12:30 Profiling and Parallelizing with the OpenACC Toolkit 12:30 - 13:30 Hands-on: Profiling and Parallelizing 13:30 - 15:00 Lunch break Session 2 / 2:00pm – 5:00 pm (2 h practical) 15:00 - 17:00 Hands-on: Open Labs   DAY 2 Session 3 / 9:00am – 1:00 pm (2h lectures, 2 h practical) 9:00 - 10:00 Expressing Data Locality and Optimizations with OpenACC 10:00 - 11:00 Hands-on: Data Locality and Optimizations 11:00 - 11:30 Break 11:30 - 12:30 Advanced OpenACC Techniques: Interoperability, MPI, and Pipelining 12:30 - 13:30 Hands-on: Advanced Techniques 13:30 - 15:00 Lunch break Session 4 / 2:00pm – 5:00 pm (2 h practical) 15:00 - 17:00 Hands-on: Open Labs End of Course   https://events.prace-ri.eu/event/769/ 2019-04-04 07:00:00 UTC 2019-04-05 16:00:00 UTC [] [] [] workshops_and_courses [] []

  • High Performance Molecular Dynamics@CINECA

    18 - 20 February 2019

    High Performance Molecular Dynamics@CINECA https://tess.elixir-europe.org/events/high-performance-molecular-dynamics-cineca-c066f8d5-c323-4608-8001-abd223134c5b   Description: This course is designed for those users who wish run classical molecular dynamics programs such as GROMACS and NAMD on modern supercomputers. By understanding better the HPC infrastructures and the algorithms used to exploit them, the aim is to give researchers the tools to run simulations in the most efficient way possible on current and future supercomputers. The course will consist of presentations and practical sessions where students will be able to prepare and run examples of popular programs such as GROMACS and NAMD on the supercomputers of Cineca. Skills: By the end of the course each student should be able to: comprehend the basic principles of classical molecular dynamics (MD). understand the common algorithms for the optimization and parallelization of MD applications and the factors limiting the performance and parallel scaling. run and optimize MD simulations on advanced, multicore architectures equipped with both conventional processors and accelerators such as NVIDIA GPUs. design a simulation project for a computing resource application. Target Audience: Scientists with research interests in classical molecular dynamics in computational biology, chemistry or biophysics. Pre-requisites: Research interest in classical molecular dynamics with a focus on the simulation of biomolecular systems. Basic knowledge of UNIX and concepts of parallel computing. Grant: A grant of 300 EUR (for foreign students) and 150 EUR (for Italian students) will be available for participants not funded by their institution and not working in the Rome area. Some documentation will be required and the grant will be paid only after a certified presence of minimum 80% of the lessons and about 1 month after the ending of the course. For further information about how to submit for the grant, please wait the confirmation email that you are accepted to the course about 3 weeks before the date of the beginning of the lessons.  The lunch for the 3 days will be provided by Cineca. Coordinating Teacher: Dr. Andrew Emerson https://events.prace-ri.eu/event/829/ 2019-02-18 08:00:00 UTC 2019-02-20 17:00:00 UTC [] [] [] workshops_and_courses [] []

  • 30th VI-HPS Tuning Workshop @ BSC

    21 - 25 January 2019

    30th VI-HPS Tuning Workshop @ BSC https://tess.elixir-europe.org/events/30th-vi-hps-tuning-workshop Please, bring your own laptop. All the PATC courses at BSC are free of charge. Course convener:  Judit Gimenez, Tools Group Manager, Computer Sciences - Performance Tools, BSC Lecturers: List of lecturers to be confirmed. Additionally to BSC,  we have instructor commitments from MAQAO, Scalasca/Score-P, Vampir and TAU Objectives:  VI-HPS Tuning Workshops are the major training vehicle where around 30 participants receive instruction and guidance to become familiar with VI-HPS programming tools suite. During the training, we will explain the functionality of each tool and how they can be used. We will also give them hands-on assistance on how to apply VI-HPS tools to their own parallel application codes, along with advice for potential corrections and optimizations. Additionally, feedback to tools developers helps direct tools development to user needs, as well as improve tool documentation and ease of use. Learning Outcomes:  Understand common performance analysis and diagnosis techniques and how they can be employed in practice Make sense of the functionality of individual tools, and how to use them effectively Apply VI-HPS tools to their own parallel application codes Optimize their own codes thanks to the coaching of how to tune their measurement and analysis Level:  Basic knowledge on parallel programming. Attendees have to bring an application that can use on the hands-on. They need to have the source code and install it in the BSC machine. Agenda: Day 1: Monday 21 January 09:00 Welcome Introduction to VI-HPS & overview of tools [Judit Giménez, BSC] Introduction to parallel performance engineering Lab setup Computer systems and software environment [BSC] Building and running codes on MareNostrum-IV and CTE-POWER9 10:45 (break) 11:15 Paraver tracing tools suite [Judit Giménez, BSC] Paraver hands-on exercises 13:00 (lunch) 14:00 Hands-on coaching to apply tools to analyze participants' own code(s). 17:00 Review of day and schedule for remainder of workshop 17:30 (adjourn)   Day 2: Tuesday 22 January 09:00 Score-P instrumentation & measurement [Michael Knobloch, JSC] Score-P hands-on exercises CUBE profile explorer hands-on exercises [Michael Knobloch, JSC] Score-P analysis scoring & filtering   [Michael Knobloch, JSC] Measuring hardware counters and other metrics   10:45 (break)   11:15 TAU performance system [Sameer Shende, UOregon] TAU hands-on exercises 13:00 (lunch) 14:00 Hands-on coaching to apply tools to analyze participants' own code(s). 17:00 Review of day and schedule for remainder of workshop 17:30 (adjourn)   Day 3: Wednesday 23 January 09:00 Scalasca automated trace analysis [Michael Knobloch, JSC] Scalasca hands-on exercises 10:45 (break) 11:15 Extra-P automated scaling analysis [Alexandru Calotoiu, TUDarmstadt] Extra-P hands-on exercises 13:00 (lunch) 14:00 Hands-on coaching to apply tools to analyze participants' own code(s). 17:00 Review of day and schedule for remainder of workshop 17:30 (adjourn)   Day 4: Thursday 24 January 09:00 Vampir interactive trace analysis [Holger Brunst, TUDresden] Vampir hands-on exercises 10:45 (break) 11:15 MUST & ARCHER correctness checking of MPI usage & OpenMP [Joachim Protze & Simon Schwitanski, RWTH] MUST & ARCHER hands-on exercises 13:00 (lunch) 14:00 Hands-on coaching to apply tools to analyze participants' own code(s). 17:00 Review of day and schedule for remainder of workshop 17:30 (adjourn)   Day 5: Friday 25 January 09:00 MAQAO x86 performance analysis tools [Emmanuel Oseret & Cedric Valensi, UVSQ] MAQAO hands-on exercises 10:45 (break) 11:15 Intel Advisor and Roofline model [Egor Kazachkov, Intel] 12:30 Review of workshop 13:00 (lunch) 14:00 Hands-on coaching to apply tools to analyze participants' own code(s). 17:00 (adjourn)   https://events.prace-ri.eu/event/803/ 2019-01-21 08:30:00 UTC 2019-01-25 16:30:00 UTC [] [] [] workshops_and_courses [] []

  • High-performance computing with Python @ JSC

    17 - 19 June 2019

    High-performance computing with Python @ JSC https://tess.elixir-europe.org/events/high-performance-computing-with-python-jsc-c53f1e62-685c-4f81-b928-50588f42c5b8 Python is increasingly used in high-performance computing projects. It can be used either as a high-level interface to existing HPC applications and libraries, as embedded interpreter, or directly. This course combines lectures and hands-on sessions. We will show how Python can be used on parallel architectures and how to optimize critical parts of the kernel using various tools. The following topics will be covered: Interactive parallel programming with IPython Profiling and optimization High-performance NumPy Just-in-time compilation with numba Distributed-memory parallel programming with Python and MPI Bindings to other programming languages and HPC libraries Interfaces to GPUs This course is aimed at scientists who wish to explore the productivity gains made possible by Python for HPC. Prerequisites: Good working knowledge of Python and NumPy Application Registrations are only considered until 15 May 2019 due to available space, the maximal number of participants is limited. Applicants will be notified, whether they are accepted for participitation. Instructors: Dr. Jan Meinke, Dr. Olav Zimmermann, JSC Contact For any questions concerning the course please send an e-mail to j.meinke@fz-juelich.de https://events.prace-ri.eu/event/825/ 2019-06-17 07:00:00 UTC 2019-06-19 14:30:00 UTC [] [] [] workshops_and_courses [] []

  • VI-HPS Tuning Workshop @ JSC

    24 - 28 June 2019

    VI-HPS Tuning Workshop @ JSC https://tess.elixir-europe.org/events/vi-hps-tuning-workshop-jsc This workshop organized by VI-HPS and JSC as a PRACE training event will: give an overview of the VI-HPS programming tools suite explain the functionality of individual tools, and how to use them effectively offer hands-on experience and expert assistance using the tools The detailed program will be available on the VI-HPS training web site. Presentations and hands-on sessions are planned on the following topics Setting up, welcome and introduction Score-P instrumentation and measurement Scalasca automated trace analysis TAU performance system Vampir interactive trace analysis Extra-P automated performance modeling Paraver/Extrae/Dimemas trace analysis and performance prediction MAQAO performance analysis & optimisation MUST runtime error detection for MPI ARCHER runtime error detection for OpenMP JUBE script-based workflow execution environment ... and potentially others to be added A brief overview of the capabilities of these and associated tools is provided in the VI-HPS Tools Guide. Prerequisites: Experience with MPI or OpenMP Application Registrations are only considered until 31 May 2019 due to available space, the maximal number of participants is limited. Applicants will be notified, whether they are accepted for participitation. Instructors: JSC staff members, members of the VI-HPS collaboration Contact For any questions concerning the course please send an e-mail to b.wylie@fz-juelich.de https://events.prace-ri.eu/event/827/ 2019-06-24 07:00:00 UTC 2019-06-28 14:30:00 UTC [] [] [] workshops_and_courses [] []

  • Energy Efficency in HPC @Cineca

    21 - 22 February 2019

    Energy Efficency in HPC @Cineca https://tess.elixir-europe.org/events/energy-efficency-in-hpc-cineca Description: With the steaming out of Moore's law and the end of Dennard's scaling the pace dictated on the performance increase of High Performance Computing Systems among generations has led to power constrained architectures and systems. In addition power consumption represents a significant cost factor in the overall HPC system economy. For this reasons in the recent years researchers, supercomputing centers and major vendors have developed new tools and methodologies to measure and optimize the energy consumption of large scale high performance system installation. Due to the link between energy consumption, power consumption and execution time of the application executed by the final user it is important for these tools and methodology to consider all these aspects empowering the final user and the system administrator with the capability of finding the best configuration given different high level objectives.  The school will give an introductory course on the fundamental concept of power consumption and energy efficiency in HPC systems. Then it will focuses on the mechanisms that today computing elements and systems provide in terms of monitoring and control the power and energy dissipation. Finally it will introduce and give hand ons on a set of tools for reducing the energy consumption in HPC devices.  The school is organized in four main sessions driving the audience from the physical and engineering principles underlying power consumption in supercomputing systems to the practical usage of state-of-the-art tools for monitoring and controlling the energy efficiency of supercomputing machines and workloads. The tools that will be covered are the MSR-SAFE (LLNL), MERIC (IT4I), COUNTDOWN (UNIBO), GEOPM (Intel) libraries.  Skills: By the end of the course, participants will be expected to: have a good understanding of the principles underlying the power consumption, energy dissipation in high performance computing nodes recognize trade-offs and implications of changing the power consumption in scientific computing systems during the execution of scientific computing applications have a clear view on the state-of-the-art and of practice in controlling the power consumption and energy efficiency of supercomputing nodes and processors. learn the internals and the usage of a set of user-space run-time libraries for controlling/optimizing the power consumption and energy efficiency in x86 computing nodes while executing user's applications. learn how to use these tools for optimize the energy consumption of your codes. Target Audience: Researchers, student, system administrator, application developers who may wish to limit the environmental impact of their computations, as well as reducing the cost of energy provisioning in supercomputing system - promoting a more sustainable supercomputing ecosystem. Pre-requisites: Knowledge of Fortran or C/C++. Elementary notions of Linux/Unix. Knowledge of computing architecture Experience in running HPC applications or systems Basic knowledge of parallel programming OpenMP and/or MPI    Grant The course is FREE of charge. The lunch for the two days will be offered to all the participants and some grants are available. The only requirement to be eligible is to be not funded by your institution to attend the course and to work and live in an institute outside the Bologna area. The grant  will be 200 euros for students working and living outside Italy and 100 euros for students working and living in Italy (outside Bologna area). Some documentation will be required and the grant will be paid only after a certified presence of minimum 80% of the lectures. Further information about how to request the grant, will be provided at the confirmation of the course: about 3 weeks before the starting date. https://events.prace-ri.eu/event/833/ 2019-02-21 08:00:00 UTC 2019-02-22 16:00:00 UTC [] [] [] workshops_and_courses [] []

  • School on Scientific Data Analytics and Deep Learning @ Cineca

    10 - 14 June 2019

    School on Scientific Data Analytics and Deep Learning @ Cineca https://tess.elixir-europe.org/events/school-on-scientific-data-analytics-and-deep-learning-cineca Description: The increasing amount of scientific data collected through sensors or computational simulations can take advantage of new techniques for being processed in order to extract new insights out of raw data. The purpose of this one-week school is to present researchers and scientists with methods, tools and techniques for exploring and mining, large data sets using Cineca high performance resources. The school is an introductory set of lectures aimed at training beginner participants in the application of relevant statistical, machine and deep learning algorithms to create classification and predictive models using Cineca resources to execute efficient processing jobs. The school will consist of introductory lectures held by data scientists, and hands-on sessions. Skills: At the end of the course, the student will possess and know how to use the following skills: • Use of Cineca HPC resources • Machine Learning algorithms and libraries  • Deep Learning frameworks Target Audience: Young students, PhD, and researchers in computational sciences and scientific areas with different backgrounds, looking for new technologies and methods to process and analyse large amount of data. Prerequisites: Participants must have basic knowledge in statistics, on the fundamentals of computer programming with python and R and in using GNU/Linux-based systems. Grant The lunch for the five days will be offered to all the participants and some grants are available. The only requirement to be eligible is to be not funded by your institution to attend the course and to work or live in an institute outside the Roma area. The grant  will be 300 euros for students working and living outside Italy and 150 euros for students working and living in Italy. Some documentation will be required and the grant will be paid only after a certified presence of minimum 80% of the lectures. Further information about how to request the grant, will be provided at the confirmation of the course: about 3 weeks before the starting date. The number of participants is limited to 20 students. Applicants will be selected according to their experience, qualification and scientific interest BASED ON WHAT WRITTEN IN THE "Reason for participation" FIELD OF THE REGISTRATION FORM.    APPLICATION DEADLINE May 3rd, 2019.  STUDENTS WILL BE NOTIFIED ON THEIR ADMISSION OR NOT WITH AN EMAIL ON MONDAY MAY,13TH.  Attendance is FREE.    https://events.prace-ri.eu/event/832/ 2019-06-10 08:00:00 UTC 2019-06-14 16:00:00 UTC [] [] [] workshops_and_courses [] []

  • High-performance scientific computing in C++ @ JSC

    27 - 29 May 2019

    High-performance scientific computing in C++ @ JSC https://tess.elixir-europe.org/events/high-performance-scientific-computing-in-c-jsc-ee5bae79-ed57-4de5-bfad-0ca030797e59 Modern C++, with its support for procedural, objected oriented, generic and functional programming styles, offers many powerful abstraction mechanisms to express complexity at a high level while remaining very efficient. It is therefore the language of choice for many scientific projects. However, achieving high performance on contemporary computer hardware, with many levels of parallelism, requires understanding C++ code from a more performance centric viewpoint. In this course, the participants will learn how to write C++ programs which better utilize typical HPC hardware resources of the present day. The course is geared towards scientists and engineers, who are already familiar with C++14, and wish to develop maintainable and fast applications. They will learn to identify and avoid performance degrading characteristics, such as unnecessary memory operations, branch mispredictions, and unintentionally strong ordering assumptions. Two powerful open source libraries to help write structured parallel applications will also be introduced: Intel (R) Threading Building Blocks NVIDIA Thrust Prerequisites: Good working knowledge of C++, especially the C++14 standard. Please check with these questions whether your C++ knowlegde fulfills the requirements. Application Registrations are only considered until 1May 2019 due to available space, the maximal number of participants is limited. Applicants will be notified, whether they are accepted for participitation. Instructor: Dr. Sandipan Mohanty, JSC Contact For any questions concerning the course please send an e-mail to s.mohanty@fz-juelich.de https://events.prace-ri.eu/event/824/ 2019-05-27 07:00:00 UTC 2019-05-29 14:30:00 UTC [] [] [] workshops_and_courses [] []

  • High Performance Parallel IO and post-processing @ MdlS

    11 - 13 March 2019

    High Performance Parallel IO and post-processing @ MdlS https://tess.elixir-europe.org/events/high-performance-parallel-io-and-post-processing-mdls The increase in computational power goes hand in hand with an increase in the size of the data to be managed, both on the input and on the output sides. IO can easily become a bottleneck for large scale architectures. Understanding of parallel file system mechanisms and parallel IO concepts enables users to efficiently use existing high level libraries like HDF5. With the increasing performance gap between compute and storage, even the best use of IO bandwidth might not be enough and data reduction based on in-situ or in-transit post-processing becomes a requirement for large-scale codes. More and more libraries able to handle this become available. This course proposes an introduction to FlowVR, a technology developed at Inria dedicated to in-situ and in-transit post-processing. To handle the multiplication of libraries, this course will also introduce the Parallel Data Interface (PDI), a solution to couple simulation codes with libraries for I/O and post-processing based on simple annotations. PDI improves code quality with a) annotations independent of the library used, b) a choice of IO strategy at runtime in YAML and c) negligible overhead to access the full power of the underlying libraries. Agenda: Day 1: HDF5, pHDF5 and general parallel IO concepts (2x3h, including hands-on) Day 2: Lustre file system (1h30) Day 2: FlowVR (1h30 + 3h including hands-on) Day 3: Parallel Data Interface (3h including hands-on) Day 3: Diving deeper into HDF5, FlowVR or PDI, your choice ! (3h) Instructors: M. Haefele (Maison de la Simulation, CNRS), Thomas Leibovici (TGCC, CEA), Bruno Raffin (INRIA), Julien Bigot (Maison de la Simulation, CEA) Learning outcomes: After this course, participants should understand the trade-offs implied by using a parallel file-system, and know how to efficiently use parallel IO libraries. Participants will also have a basic understanding and practise of FlowVR and PDI. Prerequisites: Knowledge of C or Fortran programming languages, parallel programming with MPI   https://events.prace-ri.eu/event/814/ 2019-03-11 08:30:00 UTC 2019-03-13 16:00:00 UTC [] [] [] workshops_and_courses [] []

  • Petaflop System Administration; Marenostrum 4 @ BSC

    20 - 21 March 2019

    Petaflop System Administration; Marenostrum 4 @ BSC https://tess.elixir-europe.org/events/petaflop-system-administration-marenostrum-4-bsc-6ce6f94e-a95e-432c-9e44-f7ceec5653c8 The registration to this course is now open. Please, bring your own laptop. All the PATC courses at BSC are free of charge. Course Convener: Javier Bartolome, Systems Group Manager, Operations - System Administration, BSC Objectives: Explain the different components that MareNostrum 4 is composed, which were the design decisions taken and why. Explain how the system administration is taken in this Petaflop system. Learning Outcomes: The students will learn how MareNostrum 4 is organized and how it works. This can have some insights and ideas about how to manage clusters of thousands of nodes in a HPC or no-HPC environment. Level: INTERMEDIATE, for trainees with some theoretical and practical knowledge; those who finished the beginners course. Prerequisites: Experience on Linux system administration is required. Lecturer: Javier Bartolome, Systems Group Manager, Operations - System Administration, BSC Agenda: Day 1 (March, 20) Session 1 / 9:00am – 1:00 pm  (3:30 h lectures) 9h-9:20h Introduction & outline of the course 9:20h-9:40h MareNostrum4 Overview 9:40h-10:40h Storage in MareNostrum4 10:40h-11h COFFE BREAK 11h-11:30h Networks on MareNostrum4 11:30h -13h Clustering Software 13h-14h LUNCH BREAK   Session 2 / 2:00pm – 6:00 pm (3:30 h practical) 14h-15:30h Practice on clustering software 15:30h-15:45h COFFE BREAK 15:45-16:30h Monitoring MareNostrum4 16:30h-17h MareNostrum4 Facility 17h-18h Visit to MareNostrum4 18h Adjourn   Day 2 (March, 21) 9am – 12:30pm Session 3 / 9:00am – 12:30 pm  (3 h lectures) 9h-10h MareNostrum4 Schedule system 10h-11h PRACE Project and Services 11h-11:15h COFFEE BREAK 11:15h-12h MareNostrum4 software stack 12h-12:30h Questions/Wrap-up   End Of Course https://events.prace-ri.eu/event/765/ 2019-03-20 08:00:00 UTC 2019-03-21 12:00:00 UTC [] [] [] workshops_and_courses [] []

  • Introduction to PETSc @ MdlS/Idris

    24 - 25 June 2019

    Introduction to PETSc @ MdlS/Idris https://tess.elixir-europe.org/events/introduction-to-petsc-mdls-idris-ceefc072-008e-4229-9801-0874bcd22d31 The Portable, Extensible Toolkit for Scientific Computation (PETSc) is a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations (www.mcs.anl.gov/petsc/). It enables researchers to delegate the linear algebra part of their applications to a specialized team, and to test various solution methods. The course will provide the necessary basis to get started with PETSc and give an overview of its possibilities. Presentations will alternate with hands-on sessions (in C or Fortran). Learning outcomes : On completion of this course, the participant should - Be able to build and solve simple PDE examples - Use and compare different solvers on these examples - Be familiar with using the on-line documentation - Be able to easily explore other PETsc possibilities relevant to his/her application. Prerequisites : C or Fortran programming. Notions of linear algebra, as well as notions of MPI, would be an asset. https://events.prace-ri.eu/event/816/ 2019-06-24 07:30:00 UTC 2019-06-25 15:00:00 UTC [] [] [] workshops_and_courses [] []

  • Advanced Parallel Programming @ CSC

    27 February - 1 March 2019

    Advanced Parallel Programming @ CSC https://tess.elixir-europe.org/events/advanced-parallel-programming-csc-4c9c2989-610a-4d6d-ae2a-fa20776bd201 Description This course addresses hybrid programming by combining OpenMP and MPI, as well as more advanced topics in MPI. Also, parallel I/O is discussed and exemplified in the course. The course consists of lectures and hands-on exercises. Learning outcome After the course the participants should have an idea about more advanced techniques and best practices in parallel programming, and on how to scale up parallel applications and optimize them to different platforms. Prerequisites The PATC course Introduction to Parallel Programming or similar background knowledge together with fluency in Fortran and/or C programming languages will be assumed. Agenda (tentative) Day 1: Wednesday, February 27 09.00-09.45 Course intro, MPI & OpenMP recap 09.45-10.00 Coffee break 10.00-11.00 Exercises 11.00-11.30 Hybrid MPI + OpenMP programming I 11.30-12.00 Exercises 12.00-13.00 Lunch break 13.00-13.45 Hybrid MPI + OpenMP programming II 13.45-14.30 Exercises 14.30-14.45 Coffee break 14.45-15.15 Advanced MPI I: Communication topologies 15.15-16.15 Exercises 16.15-16.30 Summary of Day 1 Day 2: Thursday, February 28 09.00-09.45 Advanced MPI II: User-defined datatypes 09.45-10.00 Coffee break 10.00-11.15 Exercises 11.15-12.00 Advanced MPI III: One-sided communication 12.00-13.00 Lunch break 13.00-14.30 Exercises 14.30-14.45 Coffee break 14:45-15:15 Parallel I/O with Posix 15.15-16.15 Exercises 16.15-16.30 Summary of Day 2 Day 3: Friday, March 1 09.00-09.45 Parallel I/O with MPI 09.45-10.00 Coffee break 10.00-11.15 Exercises 11.15-12.00 Parallel I/O with MPI cont'd 12.00-13.00 Lunch break 13.00-14.15 Exercises 14.15-14.30 Coffee break 14.30-15.15 Parallel I/O with HDF5 15.15-16.15 Exercises 16.15-16.30 Summary of Day 3 Lecturers:  Jussi Enkovaara (CSC),  Martti Louhivuori (CSC)   Language:  English Price:          Free of charge https://events.prace-ri.eu/event/848/ 2019-02-27 07:00:00 UTC 2019-03-01 14:00:00 UTC [] [] [] workshops_and_courses [] []

  • Programming paradigms for GPU devices@Cineca

    1 - 3 April 2019

    Programming paradigms for GPU devices@Cineca https://tess.elixir-europe.org/events/programming-paradigms-for-gpu-devices-cineca-1dff73da-578e-4e79-89d6-7b12bc4c67b9 This course gives an overview of the most relevant GPGPU computing techniques to accelerate computationally demanding tasks on HPC heterogeneous architectures based on GPUs. The course will start with an architectural overview of modern GPU based heterogeneous architectures, focusing on its computing power versus data movement needs. The course will cover both a high level (pragma-based) programming approach with OpenACC for a fast porting startup, and lower level approaches based on nVIDIA CUDA and OpenCL programming languages for finer grained computational intensive tasks. A particular attention will be given on performance tuning and techniques to overcome common data movement bottlenecks and patterns. Topics: Overview of architectural trends of GPUs in HPC. GPGPU parallel programming in heterogeneous architectures. Basis of OpenACC, CUDA and OpenCL programming. Skills: By the end of the course, students will be able to: understand the strengths and weaknesses of GPUs as accelerators program GPU accelerated applications using both higher and lower level programming approaches overcome problems and bottlenecks regarding data movement between host and device memories make best use of independent execution queues for concurrent computing/data-movement operations Target Audience: Researchers and programmers interested in porting scientific applications or use efficient post-process and data-analysis techniques in modern heterogeneous HPC architectures. Prerequisites: A basic knowledge of C or Fortran is mandatory. Programming and Linux or Unix. A basic knowledge of any parallel programming technique/paradigm is recommended. Grant: The lunch for the three days will be offered to all the participants and some grants are available. The only requirement to be eligible is to be not funded by your institution to attend the course and to work or live in an institute outside the Roma area. The grant  will be 300 euros for students working and living outside Italy and 150 euros for students working and living in Italy (outside Bologna). Some documentation will be required and the grant will be paid only after a certified presence of minimum 80% of the lectures. Further information about how to request the grant, will be provided at the confirmation of the course: about 3 weeks before the starting date. Coordinating Teacher: Dr. L.Ferraro   https://events.prace-ri.eu/event/830/ 2019-04-01 07:00:00 UTC 2019-04-03 16:00:00 UTC [] [] [] workshops_and_courses [] []

  • Python in High-Performance Computing @ CSC

    23 - 25 January 2019

    Python in High-Performance Computing @ CSC https://tess.elixir-europe.org/events/python-in-high-performance-computing-csc-8f13c25c-4980-4639-8034-2e2a7c78d8d9 Thank you to those of you who have already registered for our "Python in High-Performance Computing @ CSC" training course! The course is now FULLY BOOKED! Due to the popularity of the Python course we are now operating a limited waiting list, 10 persons max. So, if you have registered to this course and you are not able to attend, please CANCEL your registration in advance by sending an email to patc at csc.fi. If you wish to be added to the waiting list please contact to patc at csc.fi. You will be notified via e-mail of your position on the waiting list. We will keep you further informed of whether you are enrolled into the course or not. Please note that the waiting list is handled on a first come/first serve basis. Welcome to the course! Description Python programming language has become popular in scientific computing due to many benefits it offers for fast code development. Unfortunately, the performance of pure Python programs is often sub-optimal, but fortunately this can be easily remedied. In this course we teach various ways to optimise and parallelise Python programs. Among the topics are performance analysis, efficient use of NumPy arrays, extending Python with more efficient languages (Cython), and parallel computing with  message passing (mpi4py) approach. Learning outcome After the course participants are able to analyse performance of Python program and use NumPy more efficiently optimize Python programs with Cython utilize external libraries in Python programs write simple parallel programs with Python Prerequisites Participants need some experience in Python programming, but expertise is not required. One should be familiar with Python syntax Basic builtin datastructures (lists, tuples, dictionaries) Control structures (if-else, for, while) Writing functions and modules Some previous experience on NumPy will be useful, but not strictly required. Agenda Day 1, Wednesday 23.1 Efficient use of NumPy Performance analysis Day 2, Thursday 24.1 Optimisation with Cython Interfacing with external libraries Day 3, Friday 25.1 Parallel computing with mpi4py Lecturers:  Jussi Enkovaara (CSC), Martti Louhivuori (CSC) Language:   English Price:          Free of charge https://events.prace-ri.eu/event/806/ 2019-01-23 07:00:00 UTC 2019-01-25 14:00:00 UTC [] [] [] workshops_and_courses [] []