Accelerating Generative Neural Networks on Unmodified Deep Learning Processors-A Software Approach

10.1109/TC.2020.3001033

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Bibliographic Details
Main Authors:	Xu, Dawen, Liu, Cheng, Wang, Ying, Tu, Kaijie, He, Bingsheng, Zhang, Lei
Other Authors:	DEAN'S OFFICE (SCHOOL OF COMPUTING)
Format:	Article
Language:	English
Published:	IEEE COMPUTER SOC 2022
Subjects:	Science & Technology Technology Computer Science, Hardware & Architecture Engineering, Electrical & Electronic Computer Science Engineering Deconvolution Program processors Neural networks Convolution Computer architecture Hardware Acceleration Generative neural network deconvolution accelerator split deconvolution
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/215371
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-215371
record_format	dspace
spelling	sg-nus-scholar.10635-2153712023-10-31T08:29:16Z Accelerating Generative Neural Networks on Unmodified Deep Learning Processors-A Software Approach Xu, Dawen Liu, Cheng Wang, Ying Tu, Kaijie He, Bingsheng Zhang, Lei DEAN'S OFFICE (SCHOOL OF COMPUTING) Science & Technology Technology Computer Science, Hardware & Architecture Engineering, Electrical & Electronic Computer Science Engineering Deconvolution Program processors Neural networks Convolution Computer architecture Hardware Acceleration Generative neural network deconvolution accelerator split deconvolution 10.1109/TC.2020.3001033 IEEE TRANSACTIONS ON COMPUTERS 69 8 1172-1184 2022-02-15T04:01:08Z 2022-02-15T04:01:08Z 2020-01-08 2022-02-14T23:40:59Z Article Xu, Dawen, Liu, Cheng, Wang, Ying, Tu, Kaijie, He, Bingsheng, Zhang, Lei (2020-01-08). Accelerating Generative Neural Networks on Unmodified Deep Learning Processors-A Software Approach. IEEE TRANSACTIONS ON COMPUTERS 69 (8) : 1172-1184. ScholarBank@NUS Repository. https://doi.org/10.1109/TC.2020.3001033 0018-9340 1557-9956 https://scholarbank.nus.edu.sg/handle/10635/215371 en IEEE COMPUTER SOC Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Science & Technology Technology Computer Science, Hardware & Architecture Engineering, Electrical & Electronic Computer Science Engineering Deconvolution Program processors Neural networks Convolution Computer architecture Hardware Acceleration Generative neural network deconvolution accelerator split deconvolution
spellingShingle	Science & Technology Technology Computer Science, Hardware & Architecture Engineering, Electrical & Electronic Computer Science Engineering Deconvolution Program processors Neural networks Convolution Computer architecture Hardware Acceleration Generative neural network deconvolution accelerator split deconvolution Xu, Dawen Liu, Cheng Wang, Ying Tu, Kaijie He, Bingsheng Zhang, Lei Accelerating Generative Neural Networks on Unmodified Deep Learning Processors-A Software Approach
description	10.1109/TC.2020.3001033
author2	DEAN'S OFFICE (SCHOOL OF COMPUTING)
author_facet	DEAN'S OFFICE (SCHOOL OF COMPUTING) Xu, Dawen Liu, Cheng Wang, Ying Tu, Kaijie He, Bingsheng Zhang, Lei
format	Article
author	Xu, Dawen Liu, Cheng Wang, Ying Tu, Kaijie He, Bingsheng Zhang, Lei
author_sort	Xu, Dawen
title	Accelerating Generative Neural Networks on Unmodified Deep Learning Processors-A Software Approach
title_short	Accelerating Generative Neural Networks on Unmodified Deep Learning Processors-A Software Approach
title_full	Accelerating Generative Neural Networks on Unmodified Deep Learning Processors-A Software Approach
title_fullStr	Accelerating Generative Neural Networks on Unmodified Deep Learning Processors-A Software Approach
title_full_unstemmed	Accelerating Generative Neural Networks on Unmodified Deep Learning Processors-A Software Approach
title_sort	accelerating generative neural networks on unmodified deep learning processors-a software approach
publisher	IEEE COMPUTER SOC
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/215371
_version_	1781792995271507968

Accelerating Generative Neural Networks on Unmodified Deep Learning Processors-A Software Approach

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