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• W4246570123 abstract "The number of cores and the capacities of main memory in modern systems have been growing significantly. Specifically, memory scaling, although at a slower pace than computation scaling, provided opportunities for very large DRAMs with Terabytes (TBs) capacity. Consequently, addressing the performance and energy consumption bottlenecks of DRAMs is more important than ever. DRAM memory refresh operation is one of the main contributing factors to the memory overheads, especially for large capacity DRAMs used in modern servers and emerging large-scale data centers. This paper addresses the memory refresh problem by leveraging the fact that most cloud servers host virtualized systems that use similar kernels, libraries, etc. We propose and experimentally evaluate a novel approach that exploits this observation to address the DRAM refresh overhead in such systems. More specifically, in this work, we present DSM, a light-weight hardware extension in memory controller to detect the pages with same content in memory and refresh only one of them and redirect the requests to the others to this page. Our detailed experimental analysis shows that the proposed DSM design can reduce 99textsuperscriptth percentile memory access latency by up to 2.01x, and it also reduces the overall memory energy consumption by up to 8.5%." @default.
• W4246570123 created "2022-05-12" @default.
• W4246570123 creator A5007116603 @default.
• W4246570123 creator A5071123159 @default.
• W4246570123 creator A5085680812 @default.
• W4246570123 date "2020-06-09" @default.
• W4246570123 modified "2023-09-27" @default.
• W4246570123 title "DSM" @default.
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• W4246570123 doi "https://doi.org/10.1145/3392151" @default.
• W4246570123 hasPublicationYear "2020" @default.
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