001     893759
005     20210710135200.0
024 7 _ |a 2128/28074
|2 Handle
037 _ _ |a FZJ-2021-02814
041 _ _ |a English
100 1 _ |a Willsch, Dennis
|0 P:(DE-Juel1)167542
|b 0
|e Corresponding author
|u fzj
111 2 _ |a Philadelphia/Harrisburg Quantum Computing Meetup
|c Philadelphia
|d 2021-06-24 - 2021-06-24
|w USA
245 _ _ |a Benchmarking GPU Clusters with the Jülich Universal Quantum Computer Simulator
|f 2021-06-24 -
260 _ _ |c 2021
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a LECTURE_SPEECH
|2 ORCID
336 7 _ |a Talk (non-conference)
|b talk
|m talk
|0 PUB:(DE-HGF)31
|s 1625902656_30350
|2 PUB:(DE-HGF)
|x Invited
336 7 _ |a Other
|2 DINI
520 _ _ |a Simulating quantum computers is a versatile way to benchmark supercomputers with thousands of GPUs. We'll explain quantum computer simulators from a linear algebra perspective, using the Jülich Universal Quantum Computer Simulator (JUQCS) as an example. We'll show how the memory-, network-, and computation-intensive operations of JUQCS can be used to benchmark high-performance computers. In particular, we'll illustrate the CUDA-aware message-passing interface communication scheme. We present results for benchmarking JUWELS Booster, a cluster with 3,744 NVIDIA A100 Tensor Core GPUs.
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5111
|c POF4-511
|f POF IV
|x 0
536 _ _ |a 5121 - Supercomputing & Big Data Facilities (POF4-512)
|0 G:(DE-HGF)POF4-5121
|c POF4-512
|f POF IV
|x 1
700 1 _ |a Michielsen, Kristel
|0 P:(DE-Juel1)138295
|b 1
|u fzj
700 1 _ |a De Raedt, Hans
|0 P:(DE-Juel1)179169
|b 2
|u fzj
856 4 _ |u https://youtu.be/JUSEYCkh2ac
856 4 _ |u https://juser.fz-juelich.de/record/893759/files/juqcs-g-1.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:893759
|p openaire
|p open_access
|p VDB
|p driver
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)167542
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)138295
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)179169
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5111
|x 0
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-512
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Supercomputing & Big Data Infrastructures
|9 G:(DE-HGF)POF4-5121
|x 1
914 1 _ |y 2021
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a talk
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 1 _ |a FullTexts


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