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) |
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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 |
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Volume | 2020-October |
ISSN (Print) | 0271-4310 |
Conference
Conference | 52nd IEEE International Symposium on Circuits and Systems, ISCAS 2020 |
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City | Virtual, Online |
Period | 10/10/20 → 10/21/20 |
Bibliographical note
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