An Empirical Guide to the Behavior and Use of Scalable Persistent Memory

Performance characterization and empirical study of Intel's Optane persistent memory. This repo contains the data and source code for our USENIX FAST paper.

Table of Content

Directory | Description ----------|------------ data/ | Raw data (in csv format) of the sweep test graphs/ | Data (in csv format) used in the paper graphs src/ | Source code of lattester tool

Configuration

Hardware

Item | Description ---|--- CPUs | 2 CPU | Intel Xeon Platinum 8260 ES (Cascade Lake SP) CPUFreq. | 24 Cores at 2.2 Ghz base clock CPU L1 | 32 KB i-Cache, 32 KB d-cache CPU L2 | 1 MB CPU L3 | 33 MB (shared) DRAM | 2x6x32 GB Micron DDR4 2666 MHz (36ASF4G72PZ) PM | 2x6x256 GB Intel Optane DC 2666 MHz QS (NMA1XXD256GQS)

Software

Item | Description ---|--- GNU/Linux Distro | Fedora 27 Linux Kernel | 4.13.0 CPU Governor | Performance HyperThreading (SMP) | Disabled NVDIMM Firmware | 01.01.00.5253 KASLR | Disabled CPU mitigations | Off

Bibliography

@inproceedings {OptaneStudy,
author = {Jian Yang and Juno Kim and Morteza Hoseinzadeh and Joseph Izraelevitz and Steve Swanson},
title = {An Empirical Guide to the Behavior and Use of Scalable Persistent Memory},
booktitle = {18th {USENIX} Conference on File and Storage Technologies ({FAST} 20)},
year = {2020},
isbn = {978-1-939133-12-0},
address = {Santa Clara, CA},
pages = {169--182},
url = {https://www.usenix.org/conference/fast20/presentation/yang},
publisher = {{USENIX} Association},
month = feb,
}

License

# SPDX-License-Identifier: GPL-2.0

Copyright 2019 Regents of the University of California, UCSD Non-Volatile Systems Lab