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Performance of Coupled-Cluster Singles and Doubles on Modern Stream Processing Architectures

机译:耦合簇单打的性能和现代流处理架构的双打

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摘要

We develop a new implementation of coupled-cluster singles and doubles (CCSD) optimized for the most recent graphical processing unit (GPU) hardware. We find that a single node with 8 NVIDIA V100 GPUs is capable of performing CCSD computations on roughly 100 atoms and 1300 basis functions in less than 1 day. Comparisons against massively parallel implementations of CCSD suggest that more than 64 CPU-based nodes (each with 16 cores) are required to match this performance.
机译:我们开发了为最新图形处理单元(GPU)硬件优化的耦合群集单打和双打(CCSD)的新实施。 我们发现,具有8个NVIDIA V100 GPU的单个节点能够在少于1天内以大约100个原子和1300个基本函数执行CCSD计算。 对CCSD大规模并行实现的比较表明,需要64个基于CPU的节点(每个带有16个核心)来匹配此性能。

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