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@INPROCEEDINGS{Willsch:893758,
      author       = {Willsch, Dennis and Michielsen, Kristel and De Raedt, Hans},
      title        = {{B}enchmarking {GPU} {C}lusters with the {J}ülich
                      {U}niversal {Q}uantum {C}omputer {S}imulator},
      reportid     = {FZJ-2021-02813},
      year         = {2021},
      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.},
      month         = {Apr},
      date          = {2021-04-12},
      organization  = {GPU Technology Conference 2021, San
                       Jose (USA), 12 Apr 2021 - 16 Apr 2021},
      subtyp        = {Invited},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/893758},
}