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Exploiting Content Locality to Improve the Performance and Reliability of Phase Change Memory

机译:利用内容局部,提高相变内存的性能和可靠性

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With the explosive growth in data volume, the I/O bottleneck has become an increasingly daunting challenge for big data analytics. The outstanding energy efficiency and scalability characteristics of Phase Change Memory (PCM) make it a potential, attractive alternative to DRAM and traditional storage devices. However, PCM's slow write performance and weak write endurance are the two major weaknesses that prevent its wider applications. Moreover, the slow processing workflow of write requests also causes significant contention for and interferes with read requests, thus affecting the system performance. In this paper, we propose Content Aware PCM (short for CA-PCM) that employs a lightweight data deduplication module to exploit the content locality in memory accesses. CA-PCM is able to effectively reduce write traffic to PCM by removing unnecessary duplicate writes and also substantially extend the lifespan of the PCM device. Our trace-driven simulation results show that CA-PCM improves the performance and reliability significantly.
机译:随着数据量的爆炸性增长,I / O瓶颈已成为大数据分析的越来越令人生畏的挑战。相变存储器(PCM)的出色能效和可扩展性特性使其成为DRAM和传统存储设备的潜在,有吸引力的替代品。然而,PCM的写入性能慢的写性能和弱写耐力是防止其更广泛应用的两个主要弱点。此外,写入请求的缓慢处理工作流程也会对读取请求产生显着的争用,从而影响系统性能。在本文中,我们提出了内容感知PCM(CA-PCM短路),采用轻量级数据重复数据删除模块来利用内存访问中的内容局部性。 CA-PCM能够通过删除不必要的重复写入有效地减少对PCM的写入流量,并且还基本上扩展了PCM设备的寿命。我们的追踪仿真结果表明,CA-PCM显着提高了性能和可靠性。

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