Architecture-Level Energy Estimation for Heterogeneous Computing Systems

2021 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)(2021)

引用 3|浏览11
暂无评分
摘要
Due to the data and computation intensive nature of many popular data processing applications, e.g., deep neural networks (DNNs), a variety of accelerators have been proposed to improve performance and energy efficiency. As a result, computing systems have become increasingly heterogeneous, with application-specific processing offloaded from the CPU to specialized accelerators. To understand the e...
更多
查看译文
关键词
Energy consumption,Electric breakdown,Computational modeling,Neural networks,Estimation,Data transfer,Heterogeneous networks
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