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DReAM: An approach to estimate per-Task DRAM energy in multicore systems
Liu, Qixiao; Moreto Planas, Miquel; Abella, Jaume; Cazorla Almeida, Francisco Javier; Valero Cortés, Mateo
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
Accurate 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 per-task 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.
Peer Reviewed
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
Microprocessors -- Energy consumption
Processor architectures
Multiple data stream architectures
Multiprocessors
Performance of systems
Measurement techniques
Design
Measurement
Energy metering
Processor and memory architecture
Multicore architecture
Modeling and simulation
Power modeling
Performance
Benchmark characterization
Microprocessadors -- Consum d'energia
info:eu-repo/semantics/submittedVersion
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