Circuits and Systems Advances in Near Threshold Computing
Modern society is witnessing a sea change in ubiquitous computing, in which people have embraced computing systems as an indispensable part of day-to-day existence. Computation, storage, and communication abilities of smartphones, for example, have undergone monumental changes over the past decade....
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| Format: | Online |
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| Jezik: | angleščina |
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MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Online dostop: | ONIX_20220111_9783036507200_29 |
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| _version_ | 1869523724678463488 |
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| collection | Directory of Open Access Books |
| description | Modern society is witnessing a sea change in ubiquitous computing, in which people have embraced computing systems as an indispensable part of day-to-day existence. Computation, storage, and communication abilities of smartphones, for example, have undergone monumental changes over the past decade. However, global emphasis on creating and sustaining green environments is leading to a rapid and ongoing proliferation of edge computing systems and applications. As a broad spectrum of healthcare, home, and transport applications shift to the edge of the network, near-threshold computing (NTC) is emerging as one of the promising low-power computing platforms. An NTC device sets its supply voltage close to its threshold voltage, dramatically reducing the energy consumption. Despite showing substantial promise in terms of energy efficiency, NTC is yet to see widescale commercial adoption. This is because circuits and systems operating with NTC suffer from several problems, including increased sensitivity to process variation, reliability problems, performance degradation, and security vulnerabilities, to name a few. To realize its potential, we need designs, techniques, and solutions to overcome these challenges associated with NTC circuits and systems. The readers of this book will be able to familiarize themselves with recent advances in electronics systems, focusing on near-threshold computing. |
| format | Online |
| id | doab-20.500.12854ir-76293 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-762932024-04-09T23:15:20Z Circuits and Systems Advances in Near Threshold Computing Roy, Sanghamitra machine learning neural networks gait analysis embedded system NTV NTC low-power low-voltage memory and clocking circuits minimum-energy design power-performance resilient adaptive computing edge devices power management energy efficiency near-threshold computing (NTC) deep neural network (DNN) accelerators timing error AI tensor processing unit (TPU) multiply and accumulate (MAC) reliability Near-Threshold Computing functional unit performance optimization cross-layer optimization thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Modern society is witnessing a sea change in ubiquitous computing, in which people have embraced computing systems as an indispensable part of day-to-day existence. Computation, storage, and communication abilities of smartphones, for example, have undergone monumental changes over the past decade. However, global emphasis on creating and sustaining green environments is leading to a rapid and ongoing proliferation of edge computing systems and applications. As a broad spectrum of healthcare, home, and transport applications shift to the edge of the network, near-threshold computing (NTC) is emerging as one of the promising low-power computing platforms. An NTC device sets its supply voltage close to its threshold voltage, dramatically reducing the energy consumption. Despite showing substantial promise in terms of energy efficiency, NTC is yet to see widescale commercial adoption. This is because circuits and systems operating with NTC suffer from several problems, including increased sensitivity to process variation, reliability problems, performance degradation, and security vulnerabilities, to name a few. To realize its potential, we need designs, techniques, and solutions to overcome these challenges associated with NTC circuits and systems. The readers of this book will be able to familiarize themselves with recent advances in electronics systems, focusing on near-threshold computing. 2022-01-11T13:27:50Z 2022-01-11T13:27:50Z 2021 book ONIX_20220111_9783036507200_29 9783036507200 9783036507217 https://directory.doabooks.org/handle/20.500.12854/76293 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/3700 https://mdpi.com/books/pdfview/book/3700 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-0721-7 10.3390/books978-3-0365-0721-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036507200 9783036507217 120 Basel, Switzerland open access |
| spellingShingle | machine learning neural networks gait analysis embedded system NTV NTC low-power low-voltage memory and clocking circuits minimum-energy design power-performance resilient adaptive computing edge devices power management energy efficiency near-threshold computing (NTC) deep neural network (DNN) accelerators timing error AI tensor processing unit (TPU) multiply and accumulate (MAC) reliability Near-Threshold Computing functional unit performance optimization cross-layer optimization thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Circuits and Systems Advances in Near Threshold Computing |
| title | Circuits and Systems Advances in Near Threshold Computing |
| title_full | Circuits and Systems Advances in Near Threshold Computing |
| title_fullStr | Circuits and Systems Advances in Near Threshold Computing |
| title_full_unstemmed | Circuits and Systems Advances in Near Threshold Computing |
| title_short | Circuits and Systems Advances in Near Threshold Computing |
| title_sort | circuits and systems advances in near threshold computing |
| topic | machine learning neural networks gait analysis embedded system NTV NTC low-power low-voltage memory and clocking circuits minimum-energy design power-performance resilient adaptive computing edge devices power management energy efficiency near-threshold computing (NTC) deep neural network (DNN) accelerators timing error AI tensor processing unit (TPU) multiply and accumulate (MAC) reliability Near-Threshold Computing functional unit performance optimization cross-layer optimization thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | machine learning neural networks gait analysis embedded system NTV NTC low-power low-voltage memory and clocking circuits minimum-energy design power-performance resilient adaptive computing edge devices power management energy efficiency near-threshold computing (NTC) deep neural network (DNN) accelerators timing error AI tensor processing unit (TPU) multiply and accumulate (MAC) reliability Near-Threshold Computing functional unit performance optimization cross-layer optimization thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | ONIX_20220111_9783036507200_29 |