GPU Programming with CUDA @ EPCC at Imperial College London
Date: 26 - 27 November 2018
Graphics Processing Units (GPUs) were originally developed for computer gaming and other graphical tasks, but for many years have been exploited for general purpose computing in a number of areas. They offer advantages over traditional CPUs because they have greater computational capability, and use high-bandwidth memory systems (memory bandwidth is the main bottleneck for many scientific applications).
This introductory course will describe GPUs, and the advantages they offer.
It will teach participants how to start to program GPUs, which cannot be used in isolation, but are usually used in conjunction with CPUs.
Important issues affecting performance will be covered.
The course focuses on NVIDIA GPUs, and the CUDA programming language (an extension to C/C++ or Fortran). Please note the course is aimed at application programmers; it does not consider machine learning or any of the packages available in the machine learning arena.
Hands-on practical sessions are included.
You will require your laptop, and your institutional credentials to connect to eduroam. The training parctical exercises will be run on a web-based system so all you will need is a relatively recent web browser (Firefox, Chrome and Safari are known to work).
Timetable
Day 1
10:00 Introduction
10:20 GPU Concepts/Architectures
11:00 Break
11:20 CUDA Programming
12:00 A first CUDA exercise
13:00 Lunch
14:00 CUDA Optimisations
14:20 Optimisation Exercise
15:00 Break
15:20 Constant and Shared Memory
16:00 Guest Lecture Alan Gray (NVIDiA) Overview of NVIDIA Volta
17:00 Close
Day 2
10:00 Constant and Shared Memory
10:10 Exercise
10:30 OpenCL and Directives
11:00 Break
11:30 OpenCL and / or Directives Exercises
13:00 Lunch
14:00 Performance portability and Kokkos
14:30 Exercise: Getting started with Kokkos patterns
15:00 Break
15:10 Kokkos memory management
15:30 Memory management exercises
16:00 Close
Course Materials
Course materials page
https://epcced.github.io/archer-gpu-course/
https://github.com/EPCCed/archer-gpu-course
Event types:
- Workshops and courses
Activity log
