RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required!
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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ACM|Proceedings of the 50th Annual International Symposium on Computer Architecture
2023
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| Online Access: | https://hdl.handle.net/1721.1/151101 |
| _version_ | 1826214085983731712 |
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| author | Andrulis, Tanner Emer, Joel Sze, Vivienne |
| author2 | Massachusetts Institute of Technology. Research Laboratory of Electronics |
| author_facet | Massachusetts Institute of Technology. Research Laboratory of Electronics Andrulis, Tanner Emer, Joel Sze, Vivienne |
| author_sort | Andrulis, Tanner |
| collection | MIT |
| first_indexed | 2024-09-23T15:59:36Z |
| format | Article |
| id | mit-1721.1/151101 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:59:36Z |
| publishDate | 2023 |
| publisher | ACM|Proceedings of the 50th Annual International Symposium on Computer Architecture |
| record_format | dspace |
| spelling | mit-1721.1/1511012024-01-12T20:45:10Z RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required! Andrulis, Tanner Emer, Joel Sze, Vivienne 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 2023-07-11T19:21:35Z 2023-07-11T19:21:35Z 2023-06-17 2023-07-01T07:57:29Z Article http://purl.org/eprint/type/ConferencePaper 979-8-4007-0095-8 https://hdl.handle.net/1721.1/151101 Andrulis, Tanner, Emer, Joel and Sze, Vivienne. 2023. "RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required!." PUBLISHER_CC en https://doi.org/10.1145/3579371.3589062 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ The author(s) application/pdf ACM|Proceedings of the 50th Annual International Symposium on Computer Architecture Association for Computing Machinery |
| spellingShingle | Andrulis, Tanner Emer, Joel Sze, Vivienne RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required! |
| title | RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required! |
| title_full | RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required! |
| title_fullStr | RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required! |
| title_full_unstemmed | RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required! |
| title_short | RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required! |
| title_sort | raella reforming the arithmetic for efficient low resolution and low loss analog pim no retraining required |
| url | https://hdl.handle.net/1721.1/151101 |
| work_keys_str_mv | AT andrulistanner raellareformingthearithmeticforefficientlowresolutionandlowlossanalogpimnoretrainingrequired AT emerjoel raellareformingthearithmeticforefficientlowresolutionandlowlossanalogpimnoretrainingrequired AT szevivienne raellareformingthearithmeticforefficientlowresolutionandlowlossanalogpimnoretrainingrequired |