Warp: A Hardware Platform for Efficient Multimodal Sensing With Adaptive Approximation
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Abstract
In this article, 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 device. Warp supports a wide range of precision and accuracy versus power and performance tradeoffs.
Cite as:
P. Stanley-Marbell and M. Rinard, "Warp: A Hardware Platform for Efficient Multimodal Sensing With Adaptive Approximation," in IEEE Micro, vol. 40, no. 1, pp. 57-66, 1 Jan.-Feb. 2020, doi: 10.1109/MM.2019.2951004.
BibTeX:
@ARTICLE{8959350,
author={Stanley-Marbell, Phillip and Rinard, Martin},
journal={IEEE Micro},
title={Warp: A Hardware Platform for Efficient Multimodal Sensing With Adaptive Approximation},
year={2020},
volume={40},
number={1},
pages={57-66},
doi={10.1109/MM.2019.2951004}
}