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