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DReAM: An approach to estimate per-task DRAM energy in multicore systems

AutorLiu, Qixiao; Moreto, Miquel; Abella, Jaume; Cazorla, Francisco J.; Valero, Mateo
Palabras clavePower management
Energy utilization
Fecha de publicación2016
EditorAssociation for Computing Machinery
CitaciónACM Transactions on Design Automation of Electronic Systems 22 (2016)
ResumenAccurate per-task energy estimation in multicore systems would allow performing per-task energy-aware task scheduling and energy-aware billing in data centers, among other applications. Per-task energy estimation is challenged by the interaction between tasks in shared resources, which impacts tasks' energy consumption in uncontrolled ways. Some accurate mechanisms have been devised recently to estimate pertask energy consumed on-chip in multicores, but there is a lack of such mechanisms for DRAM memories. This article makes the case for accurate per-task DRAM energy metering in multicores, which opens new paths to energy/performance optimizations. In particular, the contributions of this article are (i) an ideal per-task energy metering model for DRAM memories; (ii) DReAM, an accurate yet low cost implementation of the ideal model (less than 5% accuracy error when 16 tasks share memory); and (iii) a comparison with standard methods (even distribution and access-count based) proving that DReAM is much more accurate than these other methods. © 2016 ACM.
URIhttp://hdl.handle.net/10261/155459
DOI10.1145/2939370
Identificadoresdoi: 10.1145/2939370
issn: 1557-7309
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