Agile Simulation of Stochastic Computing Image Processing With Contingency Tables

Sercan Aygun; M. Hassan Najafi; Mohsen Imani; Ece Olcay Gunes

doi:10.1109/TCAD.2023.3243136

Agile Simulation of Stochastic Computing Image Processing With Contingency Tables

Sercan Aygun^*
, M. Hassan Najafi
, Mohsen Imani
, Ece Olcay Gunes

^*Bu çalışma için yazışmadan sorumlu yazar

Elektronik ve Hab.Müh.Bölümü

Istanbul Technical University
University of Louisiana at Lafayette
University of California at Irvine

Araştırma çıktısı: Dergi yayını › Makale › Hakem

16 Atıf (Scopus)

Özet

The rapid computerized simulation of stochastic computing (SC) systems is a challenging problem. A method for agile simulation of SC image processing is proposed in this work. The input operands are processed with the aid of a correlation-controlled contingency table (CT) construct without using actual stochastic bit-streams. The proposed approach underlines the validity of CT simulation with 1) image compositing; 2) pattern detection; and 3) bilinear interpolation case studies. Using the corresponding error models, we emulate the state-of-the-art pseudo-random and quasi-random bit-streams. Experimental results show that the proposed approach achieves similar computation accuracy to the traditional SC simulation while performing runtime- and memory-efficient computations. The execution time reduces more than 200× for the image compositing task when emulating random bit-streams with CT. Pattern detection and bilinear interpolation further showed 76×and 22× lower memory usage, respectively, when employing CT.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	3474-3478
Sayfa sayısı	5
Dergi	IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Hacim	42
Basın numarası	10
DOI'lar	https://doi.org/10.1109/TCAD.2023.3243136
Yayın durumu	Yayınlandı - 1 Eki 2023

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

Finansman

This work was supported in part by the National Science Foundation (NSF) under Grant 2127780 and Grant 2019511; by the SRC Global Research Collaboration, AIHW and HW Security; by the Department of the Navy, Office of Naval Research under Grant N00014-21-1-2225 and Grant N00014- 22-1-2067; by the Air Force Office of Scientific Research under Grant 22RT0060; and by the Louisiana Board of Regents Support Fund under Grant LEQSF(2020-23)-RD-A-26, and generous gifts from Cisco, Xilinx, and Nvidia. This article was recommended by Associate Editor L. Amaru

Finansörler	Finansör numarası
Louisiana Board of Regents Support Fund	LEQSF(2020-23)-RD-A-26
National Science Foundation	2019511, 2127780
Office of Naval Research	N00014- 22-1-2067, N00014-21-1-2225
Air Force Office of Scientific Research	22RT0060
U.S. Navy

Belgeye Erişim

10.1109/TCAD.2023.3243136

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Agile Simulation of Stochastic Computing Image Processing With Contingency Tables",

abstract = "The rapid computerized simulation of stochastic computing (SC) systems is a challenging problem. A method for agile simulation of SC image processing is proposed in this work. The input operands are processed with the aid of a correlation-controlled contingency table (CT) construct without using actual stochastic bit-streams. The proposed approach underlines the validity of CT simulation with 1) image compositing; 2) pattern detection; and 3) bilinear interpolation case studies. Using the corresponding error models, we emulate the state-of-the-art pseudo-random and quasi-random bit-streams. Experimental results show that the proposed approach achieves similar computation accuracy to the traditional SC simulation while performing runtime- and memory-efficient computations. The execution time reduces more than 200× for the image compositing task when emulating random bit-streams with CT. Pattern detection and bilinear interpolation further showed 76×and 22× lower memory usage, respectively, when employing CT.",

keywords = "Computer-aided simulation, contingency table (CT), image processing, stochastic computing (SC)",

author = "Sercan Aygun and Najafi, \{M. Hassan\} and Mohsen Imani and Gunes, \{Ece Olcay\}",

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doi = "10.1109/TCAD.2023.3243136",

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T1 - Agile Simulation of Stochastic Computing Image Processing With Contingency Tables

AU - Aygun, Sercan

AU - Najafi, M. Hassan

AU - Imani, Mohsen

AU - Gunes, Ece Olcay

PY - 2023/10/1

Y1 - 2023/10/1

N2 - The rapid computerized simulation of stochastic computing (SC) systems is a challenging problem. A method for agile simulation of SC image processing is proposed in this work. The input operands are processed with the aid of a correlation-controlled contingency table (CT) construct without using actual stochastic bit-streams. The proposed approach underlines the validity of CT simulation with 1) image compositing; 2) pattern detection; and 3) bilinear interpolation case studies. Using the corresponding error models, we emulate the state-of-the-art pseudo-random and quasi-random bit-streams. Experimental results show that the proposed approach achieves similar computation accuracy to the traditional SC simulation while performing runtime- and memory-efficient computations. The execution time reduces more than 200× for the image compositing task when emulating random bit-streams with CT. Pattern detection and bilinear interpolation further showed 76×and 22× lower memory usage, respectively, when employing CT.

AB - The rapid computerized simulation of stochastic computing (SC) systems is a challenging problem. A method for agile simulation of SC image processing is proposed in this work. The input operands are processed with the aid of a correlation-controlled contingency table (CT) construct without using actual stochastic bit-streams. The proposed approach underlines the validity of CT simulation with 1) image compositing; 2) pattern detection; and 3) bilinear interpolation case studies. Using the corresponding error models, we emulate the state-of-the-art pseudo-random and quasi-random bit-streams. Experimental results show that the proposed approach achieves similar computation accuracy to the traditional SC simulation while performing runtime- and memory-efficient computations. The execution time reduces more than 200× for the image compositing task when emulating random bit-streams with CT. Pattern detection and bilinear interpolation further showed 76×and 22× lower memory usage, respectively, when employing CT.

KW - Computer-aided simulation

KW - contingency table (CT)

KW - image processing

KW - stochastic computing (SC)

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JO - IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

JF - IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

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ER -

Agile Simulation of Stochastic Computing Image Processing With Contingency Tables

Özet

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

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