Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks
Name
3579371.3589072.pdf
Size
1.39 MB
Format
Adobe PDF
Checksum (MD5)
b8eb6a1791b1e4ce08540515259c4484
Author(s)
Liang, Mingyu
Fu, Wenyin
Feng, Louis
Lin, Zhongyi
Panakanti, Pavani
Zheng, Shengbao
Sridharan, Srinivas
Delimitrou, Christina
Date Issued
June 17, 2023
Publisher
ACM|Proceedings of the 50th Annual International Symposium on Computer Architecture
Citation
Liang, Mingyu, Fu, Wenyin, Feng, Louis, Lin, Zhongyi, Panakanti, Pavani et al. 2023. "Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks."
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3579371.3589072
