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Published by Morgan & Claypool Publishers, 2016
ISBN 10: 1627052941 ISBN 13: 9781627052948
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Language: English
Published by Morgan & Claypool (Synthesis Lectures on Emerging Engineering Technologies), [San Raphael, CA], 2017
ISBN 10: 1627052941 ISBN 13: 9781627052948
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Language: Russian
Published by Izd-vo "Respublika" (Moscow), 1994
ISBN 10: 5250020739 ISBN 13: 9785250020732
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Hardcover. Condition: Fine. 1st Edition. Hardcover volume, measuring approximately 6" x 8.25", is in fine condition, with firm binding, clean and bright pages. 382 pages. Russian-language history of the reception of Freud and psychoanalysis in Russia, with reprints of Freud's essays and original contributions discussing such topics as Freud and Marxism, psychoanalysis as a research method, and a critique of Freud's theory of child sexuality.
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Language: English
Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
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Language: English
Published by Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
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Hardback. Condition: New. The transition towards exascale computing has resulted in major transformations in computing paradigms. The need to analyze and respond to such large amounts of data sets has led to the adoption of machine learning (ML) and deep learning (DL) methods in a wide range of applications. One of the major challenges is the fetching of data from computing memory and writing it back without experiencing a memory-wall bottleneck. To address such concerns, in-memory computing (IMC) and supporting frameworks have been introduced. In-memory computing methods have ultra-low power and high-density embedded storage. Resistive Random-Access Memory (ReRAM) technology seems the most promising IMC solution due to its minimized leakage power, reduced power consumption and smaller hardware footprint, as well as its compatibility with CMOS technology, which is widely used in industry. In this book, the authors introduce ReRAM techniques for performing distributed computing using IMC accelerators, present ReRAM-based IMC architectures that can perform computations of ML and data-intensive applications, as well as strategies to map ML designs onto hardware accelerators. The book serves as a bridge between researchers in the computing domain (algorithm designers for ML and DL) and computing hardware designers.
Language: English
Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
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Language: English
Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
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Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
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Language: English
Published by Morgan & Claypool Publishers, 2016
ISBN 10: 1627052941 ISBN 13: 9781627052948
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Language: English
Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
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Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
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Language: English
Published by Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
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Hardback. Condition: New. The transition towards exascale computing has resulted in major transformations in computing paradigms. The need to analyze and respond to such large amounts of data sets has led to the adoption of machine learning (ML) and deep learning (DL) methods in a wide range of applications. One of the major challenges is the fetching of data from computing memory and writing it back without experiencing a memory-wall bottleneck. To address such concerns, in-memory computing (IMC) and supporting frameworks have been introduced. In-memory computing methods have ultra-low power and high-density embedded storage. Resistive Random-Access Memory (ReRAM) technology seems the most promising IMC solution due to its minimized leakage power, reduced power consumption and smaller hardware footprint, as well as its compatibility with CMOS technology, which is widely used in industry. In this book, the authors introduce ReRAM techniques for performing distributed computing using IMC accelerators, present ReRAM-based IMC architectures that can perform computations of ML and data-intensive applications, as well as strategies to map ML designs onto hardware accelerators. The book serves as a bridge between researchers in the computing domain (algorithm designers for ML and DL) and computing hardware designers.
Language: English
Published by Inst of Engineering & Technology, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
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Language: English
Published by INSTITUTION OF ENGINEERING & T, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
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Add to basketCondition: New. Über den AutorHao Yu is a professor in the School of Microelectronics at Southern University of Science and Technology (SUSTech), China. His main research interests cover energy-efficient IC chip design and mmwave IC design. He i.
Published by Moscow, 1976
Seller: BiblioEra, Everett, MA, U.S.A.
Hardcover. Condition: Good. In Russian. Leibin, Valery Moiseevich. Philosophy of Social Criticism in the United States. Moscow: Science, 1976. All images are for identification of editions only. Several books of the same edition may be available. Please feel free to request photos of available books.SKU6940719.
Published by Moscow, 1977
Seller: BiblioEra, Everett, MA, U.S.A.
Hardcover. Condition: Good. In Russian. Leibin, Valery Moiseevich. Psychoanalysis and the Philosophy of Neo-Freudism. Moscow: Politizdat, 1977. All images are for identification of editions only. Several books of the same edition may be available. Please feel free to request photos of available books.SKU7679841.
Language: English
Published by Springer International Publishing, 2016
ISBN 10: 3031009045 ISBN 13: 9783031009044
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Exa-scale computing needs to re-examine the existing hardware platform that can support intensive data-oriented computing. Since the main bottleneck is from memory, we aim to develop an energy-efficient in-memory computing platform in this book. First, the .