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Splash-4 : A Modern Benchmark Suite with Lock-Free Constructs

Gómez-Hernández, Eduardo José (author)
Univ Murcia, Murcia, Spain.
Cebrian, Juan M. (author)
Univ Murcia, Murcia, Spain.
Kaxiras, Stefanos (author)
Uppsala universitet,Datorarkitektur och datorkommunikation,Avdelningen för datorteknik,Datorteknik
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Ros, Alberto (author)
Univ Murcia, Murcia, Spain.
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Univ Murcia, Murcia, Spain Datorarkitektur och datorkommunikation (creator_code:org_t)
Institute of Electrical and Electronics Engineers (IEEE), 2022
2022
English.
In: 2022 IEEE International Symposium on Workload Characterization (IISWC). - : Institute of Electrical and Electronics Engineers (IEEE). - 9781665487986 - 9781665487993 ; , s. 51-64
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • The cornerstone for the performance evaluation of computer systems is the benchmark suite. Among the many benchmark suites used in high-performance computing and multicore research, Splash-2 has been instrumental in advancing knowledge for both academia and industry. Published in 1995 and with over 5276 citations and counting, this benchmark suite is still in use to evaluate novel architectural proposals. Recently, the Splash-3 suite eliminates important performance bugs, data races, and improper synchronization that plagued Splash-2 benchmarks after the formal definition of the C memory model.However, keeping up with architectural changes while maintaining the same workloads and algorithms (for comparative purposes) is a real challenge. Benchmark suites can misrepresent the performance characteristics of a computer system if they do not reflect the available features of the hardware and architects may end up overestimating the impact of proposed techniques or underestimating others.In this work we introduce a revised version of Splash-3, designated Splash-4, that introduces modern programming techniques to improve scalability on contemporary hardware. We then characterize Splash-3 and Splash-4 in a state-ofthe-art simulated architecture, Intel's Ice Lake with gem5-20 simulator, as well as a real contemporary hardware processor (AMD's EPYC 7002 series). Our evaluation shows that for a 64-thread execution Splash-4 reduces the normalized execution time by an average of 52% and 34% for AMD's EPYC and Intel's Ice Lake, respectively.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

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