Analysis of a ThunderX2 System Using Top-Down and Purchasing Power Parity Methods

Yectli Huerta, David Lilja

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Bottleneck analysis has been used to understand the underlying performance of the different components that make up a CPU the goal is to improve overall performance through the effective use of different architectural components. Through the use of benchmarks, users can gain a better understanding of performance issues, by tracking how bottlenecks are being handled by the architecture. A comparison of bottlenecks generated by different settings sheds information into the performance capabilities of the platform being tested the issue is that standard techniques might not have complete information on how bottlenecks evolve between settings relative to a reference configuration. We complement the Top-Down microarchitectural analysis method with a normalization technique from the field of economics, purchasing power parity (PPP). This pairing makes it possible to better understand the relative difference between bottlenecks when normalizing with a reference thread configuration. In this study, we find a number of Top-Down identified bottlenecks that had large relative differences that standard, non-normalized, Top-Down metrics failed to identify.

Original languageEnglish (US)
Title of host publicationPEARC 2021 - Practice and Experience in Advanced Research Computing 2021
Subtitle of host publicationEvolution Across All Dimensions
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450382922
DOIs
StatePublished - Jul 17 2021
Event5th Practice and Experience in Advanced Research Computing Conference: Evolution Across All Dimensions, PEARC 2021 - Virtual, Online, United States
Duration: Jul 19 2021Jul 22 2021

Publication series

NamePractice and Experience in Advanced Research Computing

Conference

Conference5th Practice and Experience in Advanced Research Computing Conference: Evolution Across All Dimensions, PEARC 2021
Country/TerritoryUnited States
CityVirtual, Online
Period7/19/217/22/21

Bibliographical note

Publisher Copyright:
© 2021 ACM.

Keywords

  • benchmarks
  • performance and usage measurement

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