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

页码：36 / 36

页数：1

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