Conference Presentation (Invited)

FZJ-2021-02813

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Benchmarking GPU Clusters with the Jülich Universal Quantum Computer Simulator

Willsch, D. (Corresponding author)FZJ* ; Michielsen, K.FZJ* ; De Raedt, H.

2021

Please use a persistent id in citations: http://hdl.handle.net/2128/28059

Abstract: Simulating quantum computers is a versatile approach to benchmark supercomputers with thousands of GPUs. In this session, quantum computer simulators are explained from a linear algebra perspective, using the Jülich Universal Quantum Computer Simulator (JUQCS) as an example. It is shown how the memory-, network-, and computation-intensive operations of JUQCS can be used to benchmark high-performance computers. In particular, the CUDA-aware MPI communication scheme is illustrated. We present results for benchmarking JUWELS Booster, a cluster with 3744 NVIDIA A100 Tensor Core GPUs.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)

Appears in the scientific report 2021

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Database coverage:

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