Energy-Efficient Near-Sensor Convolution using Pulsed Unary Processing

被引：2
|
作者：
Najafi, M. Hassan [1 ]
Faraji, S. Rasoul [2 ]
Bazargan, Kia [2 ]
Lilja, David [2 ]
机构：
[1] Univ Louisiana Lafayette, Sch Comp & Informat, Lafayette, LA 70504 USA
[2] Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN USA
来源：
2019 IEEE 30TH INTERNATIONAL CONFERENCE ON APPLICATION-SPECIFIC SYSTEMS, ARCHITECTURES AND PROCESSORS (ASAP 2019) | 2019年
关键词：
D O I：
10.1109/ASAP.2019.00-37
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Near-sensor convolution engines have many applications in Internet-of-Things. Pulsed unary processing has been recently proposed for high-performance and energy-efficient processing of data using simple digital logic. In this work, we propose a low-cost, high-performance, and energy-efficient near-sensor convolution engine based on pulsed unary processing.
引用
收藏
页码：36 / 36
页数：1
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