Unified memory in HOOMD-blue improves node-level strong scaling

Unified memory in HOOMD-blue improves node-level strong scaling
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HOOMD-blue中的统一内存提高了节点级的强扩展性

DOI:
10.1016/j.commatsci.2019.109359
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发表时间:
2019
影响因子:
3.3
通讯作者:
Glotzer, Sharon C.
Glotzer, Sharon C.
中科院分区:
材料科学3区
文献类型:
--
作者:
Glaser, Jens;Schwendeman, Peter S.;Anderson, Joshua A.;Glotzer, Sharon C.

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Current supercomputer designs rely on increasing the compute density inside a node to maximize the performance of applications that tightly integrate the processors within a shared memory space. HOOMD-blue 2.5 enables molecular dynamics simulations that take advantage of multiple GPUs inside the same node which are connected via NVLINK. We describe the native implementation of CUDA unified memory in HOOMD-blue for strong scaling on this hardware, and provide performance benchmarks.
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