MaxPB

Author:

Li Zheng1,Wang Fang1,Feng Dan1,Hua Yu1,Liu Jingning1,Tong Wei1

Affiliation:

1. Wuhan National Laboratory for Optoelectronics, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

Abstract

Phase Change Memory (PCM) is one of the promising memory technologies but suffers from some critical problems such as poor write performance and high write energy consumption. Due to the high write energy consumption and limited power supply, the size of concurrent bit-write is restricted inside one PCM chip. Typically, the size of concurrent bit-write is much less than the cache line size and it is normal that many serially executed write units are consumed to write down the data block to PCM when using it as the main memory. Existing state-of-the-art PCM write schemes, such as FNW (Flip-N-Write) and two-stage-write, address the problem of poor performance by improving the write parallelism under the power constraints. The parallelism is obtained via reducing the data amount and leveraging power as well as time asymmetries, respectively. However, due to the extremely pessimistic assumptions of current utilization (FNW) and optimistic assumptions of asymmetries (two-stage-write), these schemes fail to maximize the power supply utilization and hence improve the write parallelism. In this article, we propose a novel PCM write scheme, called MaxPB (Maximize the Power Budget utilization) to maximize the power budget utilization with minimum changes about the circuits design. MaxPB is a “think before acting” method. The main idea of MaxPB is to monitor the actual power needs of all data units first and then effectively package them into the least number of write units under the power constraints. Experimental results show the efficiency and performance improvements on MaxPB. For example, four-core PARSEC and SPEC experimental results show that MaxPB gets 32.0% and 20.3% more read latency reduction, 26.5% and 16.1% more write latency reduction, 24.3% and 15.6% more running time decrease, 1.32× and 0.92× more speedup, as well as 30.6% and 18.4% more energy consumption reduction on average compared with the state-of-the-art FNW and two-stage-write write schemes, respectively.

Funder

State Key Laboratory of Computer Architecture

National High Technology Research and Development Program

Key Laboratory of Information Storage System, Ministry of Education, China

National Key Research and Development Program of China

Wuhan Applied Basic Research Project

NSFC

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Information Systems,Software

Cited by 5 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. PCM-2R: Accelerating MLC PCM Writes via Data Reshaping and Remapping;Mobile Information Systems;2022-07-16

2. SecNVM: An Efficient and Write-Friendly Metadata Crash Consistency Scheme for Secure NVM;ACM Transactions on Architecture and Code Optimization;2022-03-31

3. A Latency-Optimized and Energy-Efficient Write Scheme in NVM-Based Main Memory;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2020-01

4. Time and Space-Efficient Write Parallelism in PCM by Exploiting Data Patterns;IEEE Transactions on Computers;2017-09-01

5. PCMSim: A Hybrid Memory System Simulator for the Cloud Storage;2017 Fifth International Conference on Advanced Cloud and Big Data (CBD);2017-08

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