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MeterPU: a generic measurement abstraction API: Enabling energy-tuned skeleton backend selection
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-8976-0484
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-5241-0026
2018 (English)In: Journal of Supercomputing, ISSN 0920-8542, E-ISSN 1573-0484, Vol. 74, no 11, p. 5643-5658Article in journal (Refereed) Published
Abstract [en]

We present MeterPU, an easy-to-use, generic and low-overhead abstraction API for taking measurements of various metrics (time, energy) on different hardware components (e.g., CPU, DRAM, GPU) in a heterogeneous computer system, using pluggable platform-specific measurement implementations behind a common interface in C++. We show that with MeterPU, not only legacy (time) optimization frameworks, such as autotuned skeleton back-end selection, can be easily retargeted for energy optimization, but also switching between measurement metrics or techniques for arbitrary code sections now becomes trivial. We apply MeterPU to implement the first energy-tunable skeleton programming framework, based on the SkePU skeleton programming library.

Place, publisher, year, edition, pages
SPRINGER , 2018. Vol. 74, no 11, p. 5643-5658
Keywords [en]
MeterPU; Measurement abstraction API; GPU; Performance measurement; Energy measurement; Auto-tuning; Skeleton programming
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:liu:diva-153385DOI: 10.1007/s11227-016-1792-xISI: 000450623900003OAI: oai:DiVA.org:liu-153385DiVA, id: diva2:1271787
Note

Funding Agencies|EU FP7 project EXCESS; SeRC project OpCoReS

Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2019-03-06

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Li, Lu

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