Abstract
This paper introduces a novel representation that is a hybrid of unary and positional systems. It builds upon unary computation, a recent evolution in the field of stochastic computing. In contrast to the stochastic approach, the unary approach is completely accurate, with no random fluctuations. It requires less area and has much lower latency. However, compared to a conventional binary approach, the latency is still unacceptably high for many applications. The unary positional system proposed in this paper reduces the latency exponentially, with only a modest increase in the hardware complexity. Constructs for arithmetic operations such as addition and multiplication are presented and their performance is evaluated.
Original language | English (US) |
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Title of host publication | 2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1335-1339 |
Number of pages | 5 |
ISBN (Electronic) | 9781509059904 |
DOIs | |
State | Published - Mar 7 2018 |
Event | 5th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Montreal, Canada Duration: Nov 14 2017 → Nov 16 2017 |
Publication series
Name | 2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings |
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Volume | 2018-January |
Other
Other | 5th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 |
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Country/Territory | Canada |
City | Montreal |
Period | 11/14/17 → 11/16/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.