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Non-Volatile In-Memory Computing by Spintronics (Synthesis Lectures on Emerging Engineering Technologies)
Editore: Morgan & Claypool Publishers, 2016
ISBN 10: 1627052941 ISBN 13: 9781627052948
Lingua: Inglese
Da: suffolkbooks, Center moriches, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
paperback. Condizione: Very Good. Fast Shipping - Safe and Secure 7 days a week!
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Non-Volatile In-Memory Computing by Spintronics
Editore: Morgan & Claypool (Synthesis Lectures on Emerging Engineering Technologies), [San Raphael, CA], 2017
ISBN 10: 1627052941 ISBN 13: 9781627052948
Lingua: Inglese
Da: Philip Gibbons Books, Newcastle Emlyn, Regno Unito
Valutazione del venditore 5 su 5 stelle
Prima edizione
EUR 11,63
EUR 18,15 per la spedizione da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloSoftcover/Paperback. Condizione: As New. No Jacket. First Edition. Quarto-size, 160 pages (xiv 146), chats, diagrams (some with spot colour); publisher's pale blue card covers: As new, unread copy. Pictures show this actual book. UK orders are post-free.
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Non-volatile In-memory Computing by Spintronics
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: As New. Unread book in perfect condition.
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Non-Volatile In-Memory Computing by Spintronics (Synthesis Lectures on Emerging Engineering Technologies)
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 57,39
EUR 13,59 per la spedizione da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In English.
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Non-volatile In-memory Computing by Spintronics
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New.
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Non-Volatile In-Memory Computing by Spintronics (Synthesis Lectures on Emerging Engineering Technologies)
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. 1st edition NO-PA16APR2015-KAP.
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Zigmund Freid, psikhoanaliz i russkaya mysl'
Editore: Izd-vo "Respublika" (Moscow), 1994
ISBN 10: 5250020739 ISBN 13: 9785250020732
Lingua: Russo
Da: Palimpsest Scholarly Books & Services, Brooktondale, NY, U.S.A.
Valutazione del venditore 5 su 5 stelle
Prima edizione
Hardcover. Condizione: 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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Non-volatile In-memory Computing by Spintronics
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 57,38
EUR 17,01 per la spedizione da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Non-volatile In-memory Computing by Spintronics
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 65,12
EUR 17,01 per la spedizione da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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ReRAM-based Machine Learning
Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 110,76
EUR 2,28 per la spedizione in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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ReRAM-based Machine Learning (Computing and Networks)
Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 109,57
EUR 3,44 per la spedizione in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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ReRAM-based Machine Learning (Computing and Networks)
Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New.
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ReRAM-based Machine Learning
Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 128,17
EUR 2,28 per la spedizione in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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ReRAM-based Machine Learning
Editore: Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
Lingua: Inglese
Hardback. Condizione: 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.
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ReRAM-based Machine Learning
Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 118,70
EUR 17,01 per la spedizione da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Non-Volatile In-Memory Computing by Spintronics (Synthesis Lectures on Emerging Engineering Technologies)
Editore: Morgan & Claypool Publishers, 2016
ISBN 10: 1627052941 ISBN 13: 9781627052948
Lingua: Inglese
Da: Mispah books, Redhill, SURRE, Regno Unito
Valutazione del venditore 3 su 5 stelle
EUR 109,81
EUR 28,35 per la spedizione da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: Very Good. Very Good. book.
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ReRAM-based Machine Learning
Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 134,32
EUR 17,01 per la spedizione da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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ReRAM-based Machine Learning (Computing and Networks)
Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 138,34
EUR 13,59 per la spedizione da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
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Reram-based Machine Learning
Editore: Inst of Engineering & Technology, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 163,03
EUR 14,18 per la spedizione da Regno Unito a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 243 pages. 9.25x6.50x1.00 inches. In Stock.
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ReRAM-based Machine Learning
Editore: Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
Lingua: Inglese
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 134,27
EUR 43,12 per la spedizione in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: 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.
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ReRAM-based Machine Learning
Editore: Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 190,83
Gratis per la spedizione da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: 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.
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Reram-Based Machine Learning
Editore: INSTITUTION OF ENGINEERING & T, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
Lingua: Inglese
EUR 145,93
EUR 48,99 per la spedizione da Germania a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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.
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ReRAM-based Machine Learning
Editore: Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839530812 ISBN 13: 9781839530814
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 173,33
EUR 73,72 per la spedizione da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: 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.
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Non-Volatile In-Memory Computing by Spintronics (Synthesis Lectures on Emerging Engineering Technologies)
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 71,01
EUR 7,37 per la spedizione da Regno Unito a U.S.A.Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
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Non-Volatile In-Memory Computing by Spintronics (Synthesis Lectures on Emerging Engineering Technologies)
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 72,11
EUR 9,95 per la spedizione da Germania a U.S.A.Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
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Non-Volatile In-Memory Computing by Spintronics
Editore: Springer International Publishing, 2016
ISBN 10: 3031009045 ISBN 13: 9783031009044
Lingua: Inglese
EUR 47,23
EUR 48,99 per la spedizione da Germania a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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 .
