RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required!
Name
3579371.3589062.pdf
Size
2.5 MB
Format
Adobe PDF
Checksum (MD5)
f5e0d8abc13b5a82578673253a1b936b
Author(s)
Andrulis, Tanner
Emer, Joel
Sze, Vivienne
Date Issued
June 17, 2023
Publisher
ACM|Proceedings of the 50th Annual International Symposium on Computer Architecture
Citation
Andrulis, Tanner, Emer, Joel and Sze, Vivienne. 2023. "RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required!."
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Research Laboratory of Electronics
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3579371.3589062
