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DTSTART;TZID=America/Chicago:20221114T133000
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UID:submissions.supercomputing.org_SC22_sess453_ws_pmbsf121@linklings.com
SUMMARY:Performance Analysis with Unified Hardware Counter Metrics
DESCRIPTION:Workshop\n\nPerformance Analysis with Unified Hardware Counter
  Metrics\n\nGravelle, Nystrom, Norris\n\nHardware performance counters pro
 vide detailed insight into the performance of applications running on mode
 rn systems, but they can be challenging to use without detailed knowledge 
 of the computational and counter architectures. Our work addresses this ch
 allenge by identifying metrics that are common to many micro-architectures
  and can be directly related to the algorithms in question. These metrics,
  some long used and some being presented for the first time, are carefully
  designed to be easy to follow, informative, and portable to multiple syst
 ems. In this paper, we discuss the background of empirical performance ana
 lysis, describe our set of metrics, and demonstrate analysis on example be
 nchmarks and mini-applications. The metrics and examples are presented on 
 both an Intel Xeon Cascade Lake and an ARM-based Fujitsu A64FX. The signif
 icant differences in the ISAs, caches and hardware counters between these 
 two systems demonstrate the portability of the proposed metrics.\n\nSessio
 n Format: Recorded\n\nTag: Applications, Architectures, Benchmarking, Exas
 cale Computing, Modeling and Simulation, Performance, Performance Portabil
 ity\n\nRegistration Category: Workshop Reg Pass
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