Warp: A Hardware Platform for Efficient Multimodal Sensing With Adaptive Approximation

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}
}