Warp: A Hardware Platform for Efficient Multi- Modal Sensing with Adaptive Approximation
| cam.issuedOnline | 2020-01-14 | |
| cam.orpheus.counter | 12 | |
| cam.orpheus.success | Tue Jun 16 10:40:29 BST 2020 - Embargo updated | |
| dc.contributor.author | Stanley-Marbell, Phillip | |
| dc.contributor.author | Rinard, Martin | |
| dc.contributor.orcid | Stanley-Marbell, Phillip [0000-0001-7752-2083] | |
| dc.date.accessioned | 2019-01-16T00:31:27Z | |
| dc.date.available | 2019-01-16T00:31:27Z | |
| dc.description.abstract | We present Warp, the first open hardware platform designed explicitly to support research in approximate computing. Warp incorporates 21 sensors, computation, and circuit-level facilities designed explicitly to enable approximate computing research, in a 3.6 cm×3.3 cm×0.5 cm area. Warp uses these facilities to support a wide range of precision and accuracy versus power and performance tradeoffs. | |
| dc.identifier.doi | 10.17863/CAM.35368 | |
| dc.identifier.issn | 0272-1732 | |
| dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/288049 | |
| dc.language.iso | eng | |
| dc.publisher | IEEE | |
| dc.publisher.url | https://ieeexplore.ieee.org/document/8959350/metrics#metrics | |
| dc.title | Warp: A Hardware Platform for Efficient Multi- Modal Sensing with Adaptive Approximation | |
| dc.type | Article | |
| dcterms.dateAccepted | 2018-09-19 | |
| prism.endingPage | 66 | |
| prism.issueIdentifier | 1 | |
| prism.publicationName | IEEE Micro | |
| prism.startingPage | 57 | |
| prism.volume | 40 | |
| pubs.funder-project-id | Royal Society (RG170136) | |
| pubs.funder-project-id | Engineering and Physical Sciences Research Council (EP/R022534/1) | |
| pubs.funder-project-id | Engineering and Physical Sciences Research Council (EP/P001246/1) | |
| pubs.funder-project-id | Alan Turing Institute (EP/N510129/1) | |
| rioxxterms.licenseref.startdate | 2018-09-19 | |
| rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
| rioxxterms.type | Journal Article/Review | |
| rioxxterms.version | AM | |
| rioxxterms.versionofrecord | 10.1109/MM.2019.2951004. |
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