Task Migration Policy for Thermal-Aware Dynamic Performance Optimization in Many-Core Systems

نویسندگان

چکیده

The steady downsizing of semiconductor technology nodes in recent years has led to a rapid increase the density power consumption on chips which, turn, renders temperature major issue for many-core systems, adversely affecting their performance, reliability, leakage, cost, etc. In this context, task migration is powerful technique that widely used controlling temperature profile systems under dynamic workloads with goal improve utilization, paper, we present task migration policy thermal-aware performance optimization heterogeneous systems. proposed developed based an analytical and thermally safe power-budgeting scheme uses Dynamic Voltage Frequency Scaling (DVFS) thermal management system. Our aims at maximizing system’s and, same time, proactively enforcing safety using DVFS. To end, it iteratively adapts distribution active cores system (through proper decisions) maximize budget thereby, enable them operate higher frequencies without violating threshold. Experimental results demonstrate offers $2\times $ gain comparison existing approaches which aim greedily reducing average, variance, or gradient as indirect means enhance performance.

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ژورنال

عنوان ژورنال: IEEE Access

سال: 2022

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2022.3162617