DBP: Distributed Power Budgeting for Many-Core Systems in Dark Silicon

Hai Wang, Wenjun He, Qinhui Yang,Xizhu Peng,He Tang

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems(2022)

引用 2|浏览5
暂无评分
摘要
Power budget is an important power constraint provided to guarantee the thermal reliability of an integrated system. In this work, we present DBP, a DistriButed Power budgeting method, for dark silicon many-core systems. In DBP, there are two new techniques proposed to bring accurate and optimized power budget in a distributed way. First, a distributed active core locating technique is developed to find an active core distribution that leads to a high power budget. Second, a distributed power budget computing technique is introduced which computes the power budget for each active core accurately. Experiments show DBP outperforms the state-of-the-art power budgeting methods thermal safe power (TSP) and greedy dynamic power (GDP) on many-core dark silicon systems by providing a high and accurate power budget with low overhead and good scalability.
更多
查看译文
关键词
Distributed computing,many-core system,power budget,thermal modeling
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要