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DTSTAMP:20210916T132446Z
LOCATION:Ernesto Bertarelli
DTSTART;TZID=Europe/Stockholm:20210705T140000
DTEND;TZID=Europe/Stockholm:20210705T143000
UID:submissions.pasc-conference.org_PASC21_sess106_pap_aug101@linklings.co
 m
SUMMARY:Benchmarking of state-of-the-art HPC clusters with a production CF
 D code
DESCRIPTION:Paper\n\nBenchmarking of state-of-the-art HPC clusters with a 
 production CFD code\n\nBanchelli, Garcia-Gasulla, Houzeaux, Mantovani\n\nC
 omputing technologies populating high-performance computing (HPC) clusters
  is getting more and more diverse, offering a wide range of architectural 
 features. As a consequence, efficient programming of such platforms become
 s a complex task. In this paper we provide a micro-benchmarking of three H
 PC clusters based on different CPU architectures, predominant in the Top50
 0 ranking: x86, Armv8 and IBM Power9. On these platforms we study a produc
 tion fluid-dynamics application leveraging different compiler technologies
  and micro-architectural features. We finally provide a scalability study 
 on state-of-the-art HPC clusters. The two most relevant conclusions of our
  study are: i) Compiler development is critical for squeezing performance 
 out of most recent technologies; ii) Micro-architectural features such as 
 Single Instruction Multiple Data (SIMD) units and Simultaneous Multi-Threa
 ding (SMT) can impact the overall performance. However, a closer look show
 s that while SIMD is improving the performance of compute bound regions, S
 MT does not show a clear benefit on HPC workloads.\n\nDomain: Chemistry an
 d Materials, Physics
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