Accurate and compact stochastic computations by exploiting correlation
Recent studies have shown, contrary to what was previously believed, that by exploiting correlation in stochastic computing (SC) designs, more accurate SC circuits with low area cost can be realized. However, if these basic SC circuits or blocks are cascaded in series to form a large complex system,...
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Turkiye Klinikleri Journal of Medical Sciences
2019
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my.utm.894452021-02-22T01:47:36Z http://eprints.utm.my/id/eprint/89445/ Accurate and compact stochastic computations by exploiting correlation Abdellatef, Hamdan Hani, Mohamed Khalil Husin, Nasir Shaikh TK Electrical engineering. Electronics Nuclear engineering Recent studies have shown, contrary to what was previously believed, that by exploiting correlation in stochastic computing (SC) designs, more accurate SC circuits with low area cost can be realized. However, if these basic SC circuits or blocks are cascaded in series to form a large complex system, correlation between stochastic numbers (SNs) from one block to the next would be lost; thus, inaccuracies are introduced. In this study, we propose correlating circuits to be used in building complex correlated SC systems. One of the circuits is the correlator that restores lost correlations between two SNs due to previous processing. In addition, a correlated SN generator is introduced to generate SN correlated to a specific SN. Experimental results show that our methods have improved the accuracy of stochastic computation and preserved the stochastic computing correlation without the need for conversion from SC to the conventional binary-encoded computing, and vice versa. Consequently, lower latency and lower area cost are achieved. Turkiye Klinikleri Journal of Medical Sciences 2019 Article PeerReviewed Abdellatef, Hamdan and Hani, Mohamed Khalil and Husin, Nasir Shaikh (2019) Accurate and compact stochastic computations by exploiting correlation. Turkish Journal of Electrical Engineering and Computer Sciences, 27 (1). pp. 547-564. ISSN 1300-0632 http://dx.doi.org/10.3906/elk-1805-195 |
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TK Electrical engineering. Electronics Nuclear engineering Abdellatef, Hamdan Hani, Mohamed Khalil Husin, Nasir Shaikh Accurate and compact stochastic computations by exploiting correlation |
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Recent studies have shown, contrary to what was previously believed, that by exploiting correlation in stochastic computing (SC) designs, more accurate SC circuits with low area cost can be realized. However, if these basic SC circuits or blocks are cascaded in series to form a large complex system, correlation between stochastic numbers (SNs) from one block to the next would be lost; thus, inaccuracies are introduced. In this study, we propose correlating circuits to be used in building complex correlated SC systems. One of the circuits is the correlator that restores lost correlations between two SNs due to previous processing. In addition, a correlated SN generator is introduced to generate SN correlated to a specific SN. Experimental results show that our methods have improved the accuracy of stochastic computation and preserved the stochastic computing correlation without the need for conversion from SC to the conventional binary-encoded computing, and vice versa. Consequently, lower latency and lower area cost are achieved. |
format |
Article |
author |
Abdellatef, Hamdan Hani, Mohamed Khalil Husin, Nasir Shaikh |
author_facet |
Abdellatef, Hamdan Hani, Mohamed Khalil Husin, Nasir Shaikh |
author_sort |
Abdellatef, Hamdan |
title |
Accurate and compact stochastic computations by exploiting correlation |
title_short |
Accurate and compact stochastic computations by exploiting correlation |
title_full |
Accurate and compact stochastic computations by exploiting correlation |
title_fullStr |
Accurate and compact stochastic computations by exploiting correlation |
title_full_unstemmed |
Accurate and compact stochastic computations by exploiting correlation |
title_sort |
accurate and compact stochastic computations by exploiting correlation |
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Turkiye Klinikleri Journal of Medical Sciences |
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2019 |
url |
http://eprints.utm.my/id/eprint/89445/ http://dx.doi.org/10.3906/elk-1805-195 |
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13.160551 |