Course: Introduction to GPU programming: When and how to use GPU-acceleration?

  • Posted on: 2 October 2019
  • By: bbrydsoe

Course: Introduction to GPU programming: When and how to use GPU-acceleration?

GPU-acceleration has been shown to provide significant performance benefits in many different applications. However, for a novice, or even for a moderately experienced scientist or programmer, it is not always clear which applications could potentially benefit from GPU-acceleration and which do not. For example, a Nvidia V100 GPU can perform artificial intelligence (AI) related computations in a fraction of the time it takes a regular CPU to perform the same computations but ill-informed OpenACC compiler pragma can actually make a code run slower. Why is this? When should one invest time in GPU-acceleration? How much speedup can be expected with a given application?

Purpose: The main goal of this one day course is to start answering these questions. The course also covers the basics of GPU programming and aims to provide the necessary information for avoiding the most common pitfalls.

Requirements: The course does not require any existing GPU programming knowledge but basic understanding of the C language is required for the hands-ons.

Date: 2019-11-05
Time: 9:00-17:00
Location: MC313
Instructors: Mirko Myllykoski
Deadline for registration: 2019-10-29

More information and registration at the course website: https://www.hpc2n.umu.se/events/courses/when-and-how-to-use-gpu-acceleration

Updated: 2019-11-14, 16:50