Abstract
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. The proposed engine removes the necessity of using costly analog-to-digital converters. Synthesis results show that the proposed pulse-based design significantly improves the hardware cost and energy consumption compared to the conventional fixed-point binary and also to the stochastic computing-based designs.
| Original language | English (US) |
|---|---|
| Title of host publication | 2020 IEEE International Symposium on Circuits and Systems, ISCAS 2020 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728133201 |
| State | Published - 2020 |
| Event | 52nd IEEE International Symposium on Circuits and Systems, ISCAS 2020 - Virtual, Online Duration: Oct 10 2020 → Oct 21 2020 |
Publication series
| Name | Proceedings - IEEE International Symposium on Circuits and Systems |
|---|---|
| Volume | 2020-October |
| ISSN (Print) | 0271-4310 |
Conference
| Conference | 52nd IEEE International Symposium on Circuits and Systems, ISCAS 2020 |
|---|---|
| City | Virtual, Online |
| Period | 10/10/20 → 10/21/20 |
Bibliographical note
Publisher Copyright:© 2021 IEEE
