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arXiv:1903.05714cs.DC

Basic Performance Measurements of the Intel Optane DC Persistent Memory Module

Joseph Izraelevitz, Jian Yang, Lu Zhang, Juno Kim, Xiao Liu, Amirsaman Memaripour, Yun Joon Soh, Zixuan Wang, Yi Xu, Subramanya R. Dulloor, Jishen Zhao, Steven Swanson

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Abstract

Scalable nonvolatile memory DIMMs will finally be commercially available with the release of the Intel Optane DC Persistent Memory Module (or just "Optane DC PMM"). This new nonvolatile DIMM supports byte-granularity accesses with access times on the order of DRAM, while also providing data storage that survives power outages. This work comprises the first in-depth, scholarly, performance review of Intel's Optane DC PMM, exploring its capabilities as a main memory device, and as persistent, byte-addressable memory exposed to user-space applications. This report details the technologies performance under a number of modes and scenarios, and across a wide variety of macro-scale benchmarks. Optane DC PMMs can be used as large memory devices with a DRAM cache to hide their lower bandwidth and higher latency. When used in this Memory (or cached) mode, Optane DC memory has little impact on applications with small memory footprints. Applications with larger memory footprints may experience some slow-down relative to DRAM, but are now able to keep much more data in memory. When used under a file system, Optane DC PMMs can result in significant performance gains, especially when the file system is optimized to use the load/store interface of the Optane DC PMM and the application uses many small, persistent writes. For instance, using the NOVA-relaxed NVMM file system, we can improve the performance of Kyoto Cabinet by almost 2x. Optane DC PMMs can also enable user-space persistence where the application explicitly controls its writes into persistent Optane DC media. In our experiments, modified applications that used user-space Optane DC persistence generally outperformed their file system counterparts. For instance, the persistent version of RocksDB performed almost 2x faster than the equivalent program utilizing an NVMM-aware file system.

arXiv comments
Journal reference
DOI
Subjects
cs.DCDistributed, Parallel, and Cluster Computing cs.PFPerformance

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Linked by 1 identifiable commenter in 1 comment across 1 thread, from May 2019 to May 2019. Found in 4 HN submissions from Mar 2019 to May 2019. Open submission discussions.

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    • My take on random read speed? Check out this paper from Lenovo testing the performance of Optane DC Persistent Memory on their servers: https://lenovopress.com/lp1083.pdf. There's another good paper from a team at UCSD testing all sorts of usages and file systems with NVRAM here…

      RafuinoView on HNParent context

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