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Hardware support for accurate Per-Task energy metering in multicore systems

AuthorsLiu, Qixiao; Moreto, Miquel; Jimenez, Víctor; Abella, Jaume; Cazorla, Francisco; Valero, Mateo
KeywordsPer-task energy attribution
Modeling and estimation
Hardware counters
Power modeling
Simultaneous multithreaded
Chip multiprocessors
Issue Date2013
PublisherAssociation for Computing Machinery
CitationTransactions on Architecture and Code Optimization 10 (4), 2013
AbstractAccurately determining the energy consumed by each task in a system will become of prominent importance in future multicore-based systems because it offers several benefits, including (i) better application energy/performance optimizations, (ii) improved energy-aware task scheduling, and (iii) energy-aware billing in data centers. Unfortunately, existing methods for energy metering in multicores fail to provide accurate energy estimates for each task when several tasks run simultaneously. This article makes a case for accurate Per-Task Energy Metering (PTEM) based on tracking the resource utilization and occupancy of each task. Different hardware implementationswith different trade-offs between energy prediction accuracy and hardware-implementation complexity are proposed. Our evaluation shows that the energy consumed in a multicore by each task can be accurately measured. For a 32-core, 2-way, simultaneous multithreaded core setup, PTEM reduces the average accuracy error from more than 12% when our hardware support is not used to less than 4% when it is used. The maximum observed error for any task in the workload we used reduces from 58% down to 9% when our hardware support is used. © 2013 ACM.
Identifiersdoi: 10.1145/2555289.2555291
issn: 1544-3566
Appears in Collections:(IIIA) Artículos
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