Talk (non-conference) (Other)

FZJ-2024-06144

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Taming the Beasts: A Practical Overview of GPU Programming Models

Herten, A. (Corresponding author)FZJ* ; Badwaik, J.FZJ* ; Haghighi Mood, K.FZJ*

2024

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Please use a persistent id in citations: doi:10.34734/FZJ-2024-06144

Abstract: JUPITER will utilize nearly 24 000 NVIDIA GPUs to enter the Exascale Era. While CUDA is the native programming model for NVIDIA GPUs, there are alternatives which can offer higher productivity or more portability, like OpenACC, OpenMP, or Kokkos. This tutorial will present the relevant programming models and offer exercises to showcase the respective strengths.

Note: Slides of the tutorial

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) (POF4-511)
2. 5122 - Future Computing & Big Data Systems (POF4-512) (POF4-512)
3. ATML-X-DEV - ATML Accelerating Devices (ATML-X-DEV) (ATML-X-DEV)

Appears in the scientific report 2024

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Database coverage:

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