This title appears in the Scientific Report :
2023
Please use the identifier:
http://dx.doi.org/10.5281/ZENODO.8220811 in citations.
ChASE-library/ChASE: ChASE (v1.4.0)
ChASE-library/ChASE: ChASE (v1.4.0)
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...
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Personal Name(s): | Wu, Xinzhe |
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Di Napoli, Edoardo (Corresponding author) | |
Contributing Institute: |
Jülich Supercomputing Center; JSC Center for Advanced Simulation and Analytics; CASA |
Imprint: |
2023
|
DOI: |
10.5281/ZENODO.8220811 |
Document Type: |
Software |
Research Program: |
Simulation and Data Laboratory Quantum Materials (SDLQM) Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups |
Edition: | 1.4.0 |
Publikationsportal JuSER |
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) |