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@MISC{Wu:1019419,
      author       = {Wu, Xinzhe and Di Napoli, Edoardo},
      title        = {{C}h{ASE}-library/{C}h{ASE}: {C}h{ASE} (v1.4.0); 1.4.0},
      reportid     = {FZJ-2023-05376},
      year         = {2023},
      abstract     = {Introduced a new distributed GPU-build of ChASE entirely
                      based on the NVIDIA NCCL library, which avoids the explicit
                      data movement between host and device memory, and leads to
                      much faster collective communications among the involved
                      GPUs. This new release achieves between a 1.5x and 3x with
                      respect to the traditional distributed multi-GPUs build. Now
                      ChASE can be compiled and executed with the following
                      distinct parallel configurations: Distributed CPU only
                      Distributed multi-GPUs (traditionally based on host-device
                      communication standards) Distributed multi-GPUs (using
                      NVIDIA NCCL library)},
      cin          = {JSC / CASA},
      cid          = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)CASA-20230315},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / Simulation and Data
                      Laboratory Quantum Materials (SDLQM) (SDLQM)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(DE-Juel1)SDLQM},
      typ          = {PUB:(DE-HGF)33},
      doi          = {10.5281/ZENODO.8220811},
      url          = {https://juser.fz-juelich.de/record/1019419},
}