High Performance Computing Center North
ATTENTION: If are you looking for the course organized at C3SE, Chalmers, Göteborg in the spring of 2020, then the correct registration page is: https://www.hpc2n.umu.se/events/courses/c3se2020-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.
Instructors: Mirko Myllykoski
Deadline for registration: 2019-10-29
Introduction to GPU programming and hardware
Kebnekaise, batch scripts, compilers, basic examples
|10:45-11:45||Introduction to GPU programming and hardware|
|11:45-13:00||Lunch break (on your own)|
|13:00-14:30||Where is my performance?|
|14:45-17:00||More performance examples, hands-ons|
Coffee and tea will be provided. Please bring a laptop for the hands-on.
Please fill in the below form to sign up. All fields marked with * are required. REGISTRATION CLOSED! Please email firstname.lastname@example.org or email@example.com to check if it is still possible to participate.