Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration

Author(s)
Genc, Hasan; Kim, Seah; Amid, Alon; Haj-Ali, Ameer; Iyer, Vighnesh; ... Show more
Thumbnail
DownloadAccepted version (1.225Mb)
Open Access Policy
Terms of use
Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
Metadata
Show full item record
Date issued
2021
URI
https://hdl.handle.net/1721.1/143844
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Journal
2021 58th ACM/IEEE Design Automation Conference (DAC)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Genc, Hasan, Kim, Seah, Amid, Alon, Haj-Ali, Ameer, Iyer, Vighnesh et al. 2021. "Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration." 2021 58th ACM/IEEE Design Automation Conference (DAC).
Version: Author's final manuscript
Collections