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Lingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030557065 ISBN 13: 9783030557065
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Soft Error Reliability Using Virtual Platforms | Early Evaluation of Multicore Systems | Felipe Rocha Da Rosa (u. a.) | Taschenbuch | xi | Englisch | 2021 | Springer | EAN 9783030557065 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing, 2021
ISBN 10: 3030557065 ISBN 13: 9783030557065
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 106,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes the benefits and drawbacks inherent in the use of virtual platforms (VPs) to perform fast and early soft error assessment of multicore systems. The authors show that VPs provide engineers with appropriate means to investigate new and more efficient fault injection and mitigation techniques. Coverage also includes the use of machine learning techniques (e.g., linear regression) to speed-up the soft error evaluation process by pinpointing parameters (e.g., architectural) with the most substantial impact on the software stack dependability. This book provides valuable information and insight through more than 3 million individual scenarios and 2 million simulation-hours. Further, this book explores machine learning techniques usage to navigate large fault injection datasets.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030557065 ISBN 13: 9783030557065
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Lingua: Inglese
Editore: Springer International Publishing Nov 2021, 2021
ISBN 10: 3030557065 ISBN 13: 9783030557065
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes the benefits and drawbacks inherent in the use of virtual platforms (VPs) to perform fast and early soft error assessment of multicore systems. The authors show that VPs provide engineers with appropriate means to investigate new and more efficient fault injection and mitigation techniques. Coverage also includes the use of machine learning techniques (e.g., linear regression) to speed-up the soft error evaluation process by pinpointing parameters (e.g., architectural) with the most substantial impact on the software stack dependability. This book provides valuable information and insight through more than 3 million individual scenarios and 2 million simulation-hours. Further, this book explores machine learning techniques usage to navigate large fault injection datasets. 148 pp. Englisch.
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030557065 ISBN 13: 9783030557065
Da: moluna, Greven, Germania
EUR 92,27
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book describes the benefits and drawbacks inherent in the use of virtual platforms (VPs) to perform fast and early soft error assessment of multicore systems.This book describes the benefits and drawbacks inherent in the use of virtual platforms.
Da: Majestic Books, Hounslow, Regno Unito
EUR 151,17
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Lingua: Inglese
Editore: Springer, Springer Nov 2021, 2021
ISBN 10: 3030557065 ISBN 13: 9783030557065
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 106,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book describes the benefits and drawbacks inherent in the use of virtual platforms (VPs) to perform fast and early soft error assessment of multicore systems. The authors show that VPs provide engineers with appropriate means to investigate new and more efficient fault injection and mitigation techniques. Coverage also includes the use of machine learning techniques (e.g., linear regression) to speed-up the soft error evaluation process by pinpointing parameters (e.g., architectural) with the most substantial impact on the software stack dependability. This book provides valuable information and insight through more than 3 million individual scenarios and 2 million simulation-hours. Further, this book explores machine learning techniques usage to navigate large fault injection datasets.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 148 pp. Englisch.