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

Phillip Stanley-Marbell 14.Jan.2020

P. Stanley-Marbell and M. Rinard, IEEE Micro, 2020.

A Hardware Platform for Efficient Multi-Modal Sensing with Adaptive Approximation

We present Warp, a hardware platform to support research in approximatecomputing, sensor energy optimization, and energy-scavenged systems. Warpincorporates 11 state-of-the-art sensor integrated circuits, computation, andan energy-scavenged power supply, all within a miniature system that is just…

arXiv.orgPhillip Stanley-Marbell

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}
}