Write activity reduction on non-volatile main memories for embedded chip multiprocessors

Author:

Hu Jingtong1,Xue Chun Jason2,Zhuge Qingfeng3,Tseng Wei-Che1,Sha Edwin H.-M.4

Affiliation:

1. University of Texas at Dallas, Richardson, TX

2. City University of Hong Kong, Kowloon, Hong Kong

3. Chongqing University, Chongqing, China

4. Chongqing University and University of Texas at Dallas, Chongqing, China

Abstract

Recent advances in circuit and semiconductor technologies have pushed Non-Volatile Memory (NVM) technologies into a new era. These technologies exhibit appealing properties such as low power consumption, non-volatility, shock-resistivity, and high density. However, there are challenges to which we need answers in the road of applying non-volatile memories as main memory in embedded computer systems. First, when compared with DRAM, NVMs have a limited number of write/erase cycles. Second, write activities on NVM are more expensive than DRAM memory in terms of energy consumption and access latency. Both challenges will benefit from the reduction of the write activities on the NVMs. In this paper, we target embedded Chip Multiprocessors (CMPs) with Scratch Pad Memory (SPM) and non-volatile main memory. We introduce scheduling, data migration, and recomputation techniques to reduce the number of write activities on NVMs. Experimental results show that the proposed methods can reduce the number of writes by 58.46% on average, which means that the NVM can last 2.8 times as long as before. For Phase Change Memory (PCM), the lifetime is extended from 2.5 years to about 7 years on average and 15 years at the most. Also, the finish time of the tested programs is reduced by an average of 38.07%, and the energy consumption is reduced by an average of 51.23%.

Funder

Division of Computer and Network Systems

National Natural Science Foundation of China

Research Grants Council, University Grants Committee, Hong Kong

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Software

Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Effective Stack Wear Leveling for NVM;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-10

2. Optimizing data placement and size configuration for morphable NVM based SPM in embedded multicore systems;Future Generation Computer Systems;2022-10

3. Dataflow Driven Partitioning of Machine Learning Applications for Optimal Energy Use in Batteryless Systems;ACM Transactions on Embedded Computing Systems;2022-09-30

4. Exploiting inter- and intra-memory asymmetries for data mapping in hybrid tiered-memories;Proceedings of the 2020 ACM SIGPLAN International Symposium on Memory Management;2020-06

5. Improving phase change memory performance with data content aware access;Proceedings of the 2020 ACM SIGPLAN International Symposium on Memory Management;2020-06

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