文献类型：会议论文

英文题名：TriBHMM: An Energy-Efficient and Latency-Aware Hybrid Main Memory

作者：Zhang, Hong[1];Wang, Xiaojun[2]

第一作者：张换

通讯作者：Zhang, H[1]

机构：[1]Henan Univ Econ & Law, Res Ctr Innovat Govt Econ Dev & Social Management, Zhengzhou 450046, Henan, Peoples R China;[2]Henan Univ Econ & Law, Sch Comp & Informat Engn, Zhengzhou 450046, Henan, Peoples R China

第一机构：河南财经政法大学

通讯机构：[1]corresponding author), Henan Univ Econ & Law, Res Ctr Innovat Govt Econ Dev & Social Management, Zhengzhou 450046, Henan, Peoples R China.|[10484]河南财经政法大学;

会议论文集：IEEE Int Conf on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking (ISPA/BDCloud/SocialCom/SustainCom)

会议日期：DEC 16-18, 2019

会议地点：Xiamen, PEOPLES R CHINA

语种：英文

外文关键词：DRAM; Phase change memory; Hybrid main memory; Page migration algorithm

摘要：Hybrid main memory has the advantages both of DRAM and PCM while overcome the disadvantages both of them. However, the existing hybrid main memory systems are not good at the advantages of DRAM and PCM. So we propose triple-based hybrid main memory (TriBHMM), a novel hybrid main memory system which consists of Ll DRAM and L2 DRAM and L2 PCM. How places data and migrates pages to DRAM or PCM with the page properties will significantly affect the main memory system performance. In this paper, we propose a new algorithm TriBHMM-LRU algorithm for sloving the page replacement problem in TriBHMM. TriBHMLRU uses the locality of programm and the status of different memory types to place data to reduce PCM writes for improving the lifetime while reducing the latency of the TriBHMM. When pages migration happening, the recently updated pages are migrated from Ll DRAM to L2 DRAM. If some of these pages will be used again at soon, then the pages are replaced from L2 DRAM to L2 PCM. We evaluate the performance of TriBHM to others main memory system, and show the performance of TriBHM is more significant than others. The experiment shows that our TriBHMM is able to efficiently improve the whole performance and reduce PCM writes for improving the lifetime while reducing the latency.