HPC2N
High Performance Computing Center North
ATTENTION: Due to the current situation with the covid-19 virus, the course has been postponed. More information will follow.
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:
Date: 2020-04-21
Time: 9:00-17:00
Location: Chalmers center for computational science and engineering (C3SE), Chalmers, Göteborg
Room PJ at Campus Johanneberg, building Fysik Origo, entrance from Fysikgården 2B, Entrance floor.
Instructors: Mirko Myllykoski (mirkom@cs.umu.se)
Deadline for registration: 2020-04-15
To be announced.
Coffee and tea will be provided. Please bring a laptop for the hands-on.
Registration conditions: The registration becomes binding 7 days before the course begins. No-shows and late cancellations (less than 7 day in advance) are fined a fee (500 SEK) and may be blacklisted from attending future workshops at C3SE.
Please fill in the below form to sign up. All fields marked with * are required.