Dynamic and distributed frequency assignment for energy and latency constrained MP-SoC

Puschini,; Clermidy,; Benoit,; Sassatelli,; Торрес,

doi:10.1109/date.2009.5090912

Cited by 17 publications

(13 citation statements)

References 8 publications

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“…Previous works have employed a variety of methods including machine learning [10], [11], [12] , game theory [13] , and convex optimization [14] to find the optimal voltage-frequency pairs to manage the energy consumption of homogeneous (i.e., formed by identical cores) processor. More recently, heterogeneous processors are exploited towards additional optimization opportunities.…”

Section: Related Workmentioning

confidence: 99%

Dynamic energy management for chip multi-processors under performance constraints

Moghaddam

Ababei

2017

Microprocessors and Microsystems

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We introduce a novel algorithm for dynamic energy management (DEM) under performance constraints in chip multi-processors (CMPs). Using the novel concept of delayed instructions count, performance loss estimations are calculated at the end of each control period for each core. In addition, a Kalman filtering based approach is employed to predict workload in the next control period for which voltage-frequency pairs must be selected. This selection is done with a novel dynamic voltage and frequency scaling (DVFS) algorithm whose objective is to reduce energy consumption but without degrading performance beyond the user set threshold. Using our customized Sniper based CMP system simulation framework, we demonstrate the effectiveness of the proposed algorithm for a variety of benchmarks for 16 core and 64 core network-on-chip based CMP architectures. Simulation results show consistent energy savings across the board. We present our work as an investigation of the tradeoff between the achievable energy reduction via DVFS when predictions are done using the effective Kalman filter for different performance penalty thresholds.

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Section: Related Workmentioning

confidence: 99%

Dynamic energy management for chip multi-processors under performance constraints

Moghaddam

Ababei

2017

Microprocessors and Microsystems

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“…Many of these methods were used in heuristic algorithms for energy optimization. However, algorithms that employed game theory, convex optimization, and combinatorial optimization were studied too [12]- [13] [14] . Most of these algorithms were proposed in the context of homogeneous (i.e., formed by identical cores) processors.…”

Section: Section II Related Workmentioning

confidence: 99%

Investigation of LSTM based prediction for dynamic energy management in chip multiprocessors

Moghaddam

Guan

Ababei

2017

2017 Eighth International Green and Sustainable Computing Conference (IGSC)

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Abstract:In this paper, we investigate the effectiveness of using long short-term memory (LSTM) instead of Kalman filtering to do prediction for the purpose of constructing dynamic energy management (DEM) algorithms in chip multi-processors (CMPs). Either of the two prediction methods is employed to estimate the workload in the next control period for each of the processor cores. These estimates are then used to select voltage-frequency (VF) pairs for each core of the CMP during the next control period as part of a dynamic voltage and frequency scaling (DVFS) technique. The objective of the DVFS technique is to reduce energy consumption under performance constraints that are set by the user. We conduct our investigation using a custom Sniper system simulation framework. Simulation results for 16 and 64 core network-on-chip based CMP architectures and using several benchmarks demonstrate that the LSTM is slightly better than Kalman filtering. SECTION I.

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“…In previous work [2,3], a first approach based on Game Theory (GT) was proposed. In [2], the scalability of this solution was demonstrated on temperature profile and the synchronization between tasks on a MPSoC.…”

Section: Introductionmentioning

confidence: 99%

Implementation Analysis of a Dynamic Energy Management Approach Inspired by Game-Theory

Mansouri

Jalier

Clermidy

et al. 2010

2010 IEEE Computer Society Annual Symposium on VLSI

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Dynamic and distributed frequency assignment for energy and latency constrained MP-SoC

Cited by 17 publications

References 8 publications

Dynamic energy management for chip multi-processors under performance constraints

Dynamic energy management for chip multi-processors under performance constraints

Investigation of LSTM based prediction for dynamic energy management in chip multiprocessors

Implementation Analysis of a Dynamic Energy Management Approach Inspired by Game-Theory

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