DESIGN OF LOW POWER, HARDWARE-AWARE ANALOG MEMORY-BASED ACCELERATORS FOR DEEP LEARNING
Ph.D
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sg-nus-scholar.10635-2252582024-05-01T18:00:36Z DESIGN OF LOW POWER, HARDWARE-AWARE ANALOG MEMORY-BASED ACCELERATORS FOR DEEP LEARNING VELURI HASITA ELECTRICAL & COMPUTER ENGINEERING Voon Yew Thean DTCO for IoT, memristors, hardware accelerators, analog memory accelerators, DFT using analog memories Ph.D DOCTOR OF PHILOSOPHY (CDE-ENG) 2022-05-11T18:00:21Z 2022-05-11T18:00:21Z 2022-01-03 Thesis VELURI HASITA (2022-01-03). DESIGN OF LOW POWER, HARDWARE-AWARE ANALOG MEMORY-BASED ACCELERATORS FOR DEEP LEARNING. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/225258 0000-0002-0549-8341 en |
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National University of Singapore |
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NUS Library |
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Asia |
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Singapore Singapore |
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NUS Library |
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DTCO for IoT, memristors, hardware accelerators, analog memory accelerators, DFT using analog memories |
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DTCO for IoT, memristors, hardware accelerators, analog memory accelerators, DFT using analog memories VELURI HASITA DESIGN OF LOW POWER, HARDWARE-AWARE ANALOG MEMORY-BASED ACCELERATORS FOR DEEP LEARNING |
description |
Ph.D |
author2 |
ELECTRICAL & COMPUTER ENGINEERING |
author_facet |
ELECTRICAL & COMPUTER ENGINEERING VELURI HASITA |
format |
Theses and Dissertations |
author |
VELURI HASITA |
author_sort |
VELURI HASITA |
title |
DESIGN OF LOW POWER, HARDWARE-AWARE ANALOG MEMORY-BASED ACCELERATORS FOR DEEP LEARNING |
title_short |
DESIGN OF LOW POWER, HARDWARE-AWARE ANALOG MEMORY-BASED ACCELERATORS FOR DEEP LEARNING |
title_full |
DESIGN OF LOW POWER, HARDWARE-AWARE ANALOG MEMORY-BASED ACCELERATORS FOR DEEP LEARNING |
title_fullStr |
DESIGN OF LOW POWER, HARDWARE-AWARE ANALOG MEMORY-BASED ACCELERATORS FOR DEEP LEARNING |
title_full_unstemmed |
DESIGN OF LOW POWER, HARDWARE-AWARE ANALOG MEMORY-BASED ACCELERATORS FOR DEEP LEARNING |
title_sort |
design of low power, hardware-aware analog memory-based accelerators for deep learning |
publishDate |
2022 |
url |
https://scholarbank.nus.edu.sg/handle/10635/225258 |
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1800915390692327424 |