| dc.contributor.author | Andrulis, Tanner | |
| dc.contributor.author | Emer, Joel | |
| dc.contributor.author | Sze, Vivienne | |
| dc.date.accessioned | 2023-07-11T19:21:35Z | |
| dc.date.available | 2023-07-11T19:21:35Z | |
| dc.date.issued | 2023-06-17 | |
| dc.identifier.isbn | 979-8-4007-0095-8 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/151101 | |
| dc.publisher | ACM|Proceedings of the 50th Annual International Symposium on Computer Architecture | en_US |
| dc.relation.isversionof | https://doi.org/10.1145/3579371.3589062 | en_US |
| dc.rights | Creative Commons Attribution | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | Association for Computing Machinery | en_US |
| dc.title | RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required! | en_US |
| dc.type | Article | en_US |
| dc.identifier.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!." | |
| dc.contributor.department | Massachusetts Institute of Technology. Research Laboratory of Electronics | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | |
| dc.identifier.mitlicense | PUBLISHER_CC | |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2023-07-01T07:57:29Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | The author(s) | |
| dspace.date.submission | 2023-07-01T07:57:30Z | |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
