| 001 | 1019419 | ||
| 005 | 20231220201929.0 | ||
| 024 | 7 | _ | |a 10.5281/ZENODO.8220811 |2 doi |
| 037 | _ | _ | |a FZJ-2023-05376 |
| 100 | 1 | _ | |a Wu, Xinzhe |0 P:(DE-Juel1)178969 |b 0 |u fzj |
| 245 | _ | _ | |a ChASE-library/ChASE: ChASE (v1.4.0) |
| 250 | _ | _ | |a 1.4.0 |
| 260 | _ | _ | |c 2023 |
| 336 | 7 | _ | |a Software |2 DCMI |
| 336 | 7 | _ | |a Software |b sware |m sware |0 PUB:(DE-HGF)33 |s 1703049720_24344 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Computer Program |0 6 |2 EndNote |
| 336 | 7 | _ | |a OTHER |2 ORCID |
| 336 | 7 | _ | |a Software |2 DataCite |
| 520 | _ | _ | |a 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) |
| 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 Simulation and Data Laboratory Quantum Materials (SDLQM) (SDLQM) |0 G:(DE-Juel1)SDLQM |c SDLQM |f Simulation and Data Laboratory Quantum Materials (SDLQM) |x 1 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 700 | 1 | _ | |a Di Napoli, Edoardo |0 P:(DE-Juel1)144723 |b 1 |e Corresponding author |u fzj |
| 773 | _ | _ | |a 10.5281/ZENODO.8220811 |
| 909 | C | O | |o oai:juser.fz-juelich.de:1019419 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)178969 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)144723 |
| 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 2023 |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 920 | 1 | _ | |0 I:(DE-Juel1)CASA-20230315 |k CASA |l Center for Advanced Simulation and Analytics |x 1 |
| 980 | _ | _ | |a sware |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a I:(DE-Juel1)CASA-20230315 |
| 980 | _ | _ | |a UNRESTRICTED |
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