Lecture (Invited)

FZJ-2022-06170

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Many Ways to GPUs - A GPU Introduction

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

2022

Please use a persistent id in citations: http://hdl.handle.net/2128/33245

Abstract: In this session, we will focus on utilizing GPUs for scientific workloads. First, in form of a talk, the most important features of massively parallel GPU architectures are outlined and different programming models presented. Then, in a subsequent hands-on session, practical examples of porting to these programming models are given, focussing on the most commonly used models (CUDA, OpenACC, possibly Kokkos).

Note: The content is also available at https://www.nat-esm.de/services/documentation

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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 2022

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Database coverage:

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