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| 001 | 893758 | ||
| 005 | 20210710135200.0 | ||
| 024 | 7 | _ | |a 2128/28059 |2 Handle |
| 037 | _ | _ | |a FZJ-2021-02813 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Willsch, Dennis |0 P:(DE-Juel1)167542 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a GPU Technology Conference 2021 |g GTC21 |c San Jose |d 2021-04-12 - 2021-04-16 |w USA |
| 245 | _ | _ | |a Benchmarking GPU Clusters with the Jülich Universal Quantum Computer Simulator |
| 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 conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a Conference Presentation |b conf |m conf |0 PUB:(DE-HGF)6 |s 1625897287_26579 |2 PUB:(DE-HGF) |x Invited |
| 520 | _ | _ | |a 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. |
| 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 |
| 700 | 1 | _ | |a Michielsen, Kristel |0 P:(DE-Juel1)138295 |b 1 |u fzj |
| 700 | 1 | _ | |a De Raedt, Hans |0 P:(DE-HGF)0 |b 2 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/893758/files/E31941%2BDennisWillsch%2BBenchmarkingGPUClustersWithTheJuelichUniversalQuantumComputerSimulator_1617216634251001avH6-1.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:893758 |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 |
| 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 |
| 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 conf |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | 1 | _ | |a FullTexts |
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