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Workshops and courses

[CANCELLED] Parallel Programming with Python @ BSC

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Date: 6 - 8 July 2020

Please, bring your own laptop. All the PATC courses at BSC are free of charge.

Course Convener: Xavier Martorell, CS/Programming Models

Course Lecturers: Rosa M. Badia, CS/Workflows and Distributed Computing, Bryan Jiménez (University of Utrecht), Joan Verdaguer-Codina (COEIC)

LOCATION: UPC Campus Nord premises.Vertex Building, Room VS208

Level:  BASIC: for students with little previous experience with Python

Prerequisites: Basic Python programming, all examples of the course will be presented in Python.

Objectives: The objectives of this course are to understand the basic concepts on programming with Python and its support for parallelism.

Learning Outcomes: The students who finish this course will be able to develop simple parallel benchmarks with Python, and analyze their execution and tune their behaviour in parallel architectures.

Agenda:

Day 1 (Monday, July 6th, 2020)

Session 1 / 9:30 am – 1:00 pm (2 h lectures, 1 h practical)

  1. Introduction to parallel programming and Python

11:00  Coffee break

  1. Practical: How to compile and run python applications

 

Session 2 / 2:00pm – 5:30 pm (2h lectures, 1h practical)

  1. Scientific Python: NumPy, SciPy, MatplotLib, Bokeh

16:00 Coffee break

  1. Practical: Simple python programs and optimizations

  

 Day 2 (Tuesday, July 7th, 2020)

Session 1 / 9:30 am - 1:00 pm (1.5 h lectures, 1.5 h practical)

  1. Parallelism in Python. Shared memory

  2. Introduction to performance analysis. Paraver: tool to analyze and understand performance

  3. Python pools

11:00 Coffee break

  1. Practical: Examples of python parallelism

 

Session 2 / 2:00 pm - 5:30 pm (1.5 h lectures, 1.5 h practical)

  1. Distributed memory

                 Visualizing distributed environments with Paraver

  1. Python queues

16:00 Coffee break

  1. Practical: Trace generation and trace analysis

  2. Practical: environment on RPi

 

Day 3 (Wednesday, July 8th, 2020)

Session 1 / 9:30 am - 1:00 pm (1 h lecture, 2h practical)

  1. Introduction to PyCOMPSs

  2. PyCOMPSs syntax

11:00 Coffee break

3.PyCOMPSs hands-on

 

Session 2 / 2:00 pm - 5:30 pm (2 h lectures, 1 h practical)

  1. PyCUDA and support for accelerators

  2. Debugging

16:00 Coffee break

  1. Hands-on with PyCUDA

 

END of COURSE
https://events.prace-ri.eu/event/999/

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