STAMP: A Real-Time and Low-Power Sampling Error Based Stochastic Number Generator

In this paper, we introduce STAMP — a real-time and low-power sampling error based stochastic number generator — for stochastic computing circuits. STAMP exploits the stochastic nature of sampling error; its name is derived from ‘stochastic’ and &#x201...

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Autores principales:	Mahmut Burak Karadeniz, Ismail Cevik, Mustafa Altun
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	CMOS LFSR random number generator TRNG Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/125467ef13a6421b91dd581896c0946e
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spelling	oai:doaj.org-article:125467ef13a6421b91dd581896c0946e2021-11-17T00:00:30ZSTAMP: A Real-Time and Low-Power Sampling Error Based Stochastic Number Generator2169-353610.1109/ACCESS.2021.3125672https://doaj.org/article/125467ef13a6421b91dd581896c0946e2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9605689/https://doaj.org/toc/2169-3536In this paper, we introduce STAMP — a real-time and low-power sampling error based stochastic number generator — for stochastic computing circuits. STAMP exploits the stochastic nature of sampling error; its name is derived from ‘stochastic’ and ‘sampling’. A unique feature of STAMP which distinguishes it from other random generators is the ability to control the output probability of the generated stochastic bit stream in real-time with no area overhead. STAMP is implemented in 180 nm CMOS. Measurements have shown that STAMP passes all tests in the suit of the National Institute of Standards and Technology (NIST) and outperforms the benchmark random number generators in terms of randomness quality. STAMP performs 140 Mb/s throughput with energy consumption of 77 pJ/bit.Mahmut Burak KaradenizIsmail CevikMustafa AltunIEEEarticleCMOSLFSRrandom number generatorTRNGElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 151363-151372 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	CMOS LFSR random number generator TRNG Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	CMOS LFSR random number generator TRNG Electrical engineering. Electronics. Nuclear engineering TK1-9971 Mahmut Burak Karadeniz Ismail Cevik Mustafa Altun STAMP: A Real-Time and Low-Power Sampling Error Based Stochastic Number Generator
description	In this paper, we introduce STAMP — a real-time and low-power sampling error based stochastic number generator — for stochastic computing circuits. STAMP exploits the stochastic nature of sampling error; its name is derived from ‘stochastic’ and ‘sampling’. A unique feature of STAMP which distinguishes it from other random generators is the ability to control the output probability of the generated stochastic bit stream in real-time with no area overhead. STAMP is implemented in 180 nm CMOS. Measurements have shown that STAMP passes all tests in the suit of the National Institute of Standards and Technology (NIST) and outperforms the benchmark random number generators in terms of randomness quality. STAMP performs 140 Mb/s throughput with energy consumption of 77 pJ/bit.
format	article
author	Mahmut Burak Karadeniz Ismail Cevik Mustafa Altun
author_facet	Mahmut Burak Karadeniz Ismail Cevik Mustafa Altun
author_sort	Mahmut Burak Karadeniz
title	STAMP: A Real-Time and Low-Power Sampling Error Based Stochastic Number Generator
title_short	STAMP: A Real-Time and Low-Power Sampling Error Based Stochastic Number Generator
title_full	STAMP: A Real-Time and Low-Power Sampling Error Based Stochastic Number Generator
title_fullStr	STAMP: A Real-Time and Low-Power Sampling Error Based Stochastic Number Generator
title_full_unstemmed	STAMP: A Real-Time and Low-Power Sampling Error Based Stochastic Number Generator
title_sort	stamp: a real-time and low-power sampling error based stochastic number generator
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/125467ef13a6421b91dd581896c0946e
work_keys_str_mv	AT mahmutburakkaradeniz stamparealtimeandlowpowersamplingerrorbasedstochasticnumbergenerator AT ismailcevik stamparealtimeandlowpowersamplingerrorbasedstochasticnumbergenerator AT mustafaaltun stamparealtimeandlowpowersamplingerrorbasedstochasticnumbergenerator
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STAMP: A Real-Time and Low-Power Sampling Error Based Stochastic Number Generator

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