首页    期刊浏览 2025年06月05日 星期四
登录注册

文章基本信息

  • 标题:Performance and Energy Assessment of a Lattice Boltzmann Method Based Application on the Skylake Processor
  • 本地全文:下载
  • 作者:Ivan Girotto ; Sebastiano Fabio Schifano ; Enrico Calore
  • 期刊名称:Computation
  • 电子版ISSN:2079-3197
  • 出版年度:2020
  • 卷号:8
  • 期号:2
  • 页码:44-57
  • DOI:10.3390/computation8020044
  • 出版社:MDPI Publishing
  • 摘要:This paper presents the performance analysis for both the computing performance and the energy efficiency of a Lattice Boltzmann Method (LBM) based application, used to simulate three-dimensional multicomponent turbulent systems on massively parallel architectures for high-performance computing. Extending results reported in previous works, the analysis is meant to demonstrate the impact of using optimized data layouts designed for LBM based applications on high-end computer platforms. A particular focus is given to the Intel Skylake processor and to compare the target architecture with other models of the Intel processor family. We introduce the main motivations of the presented work as well as the relevance of its scientific application. We analyse the measured performances of the implemented data layouts on the Skylake processor while scaling the number of threads per socket. We compare the results obtained on several CPU generations of the Intel processor family and we make an analysis of energy efficiency on the Skylake processor compared with the Intel Xeon Phi processor, finally adding our interpretation of the presented results.
  • 关键词:lattice boltzmann method; KNL; skylake; flat mode; energy efficiency; computational performances; intel processor family; bandwidth; flops lattice boltzmann method ; KNL ; skylake ; flat mode ; energy efficiency ; computational performances ; intel processor family ; bandwidth ; flops
国家哲学社会科学文献中心版权所有