| Description |
1 online resource (xi, 315 pages) illustrations |
| Series |
IET materials, circuits and devices series 57 |
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Materials, circuits and devices series ; 57.
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| Contents |
Technological layer / Antonio Rubio and Ramon Canal -- Design techniques to improve the resilience of computing systems : logic layer / Lorena Anghel and Michael Nicolaidis -- Design techniques to improve the resilience of computing systems : architectural layer / Aviral Shrivastava, Kyoungwoo Lee, Hwisoo So, Jinhyo Jung, and Prudhvi Gali -- Design techniques to improve the resilience of computing systems : software layer / Alberto Bosio, Stefano Di Carlo, Giorgio Di Natale, Matteo Sonza Reorda, and Josie E. Rodriguez Condia -- Cross-layer resilience / Eric Cheng and Subhasish Mitra -- Physical stress / Fernando Fernandes dos Santos, Fabio Benevenuti, Gennaro Rodrigues, Fernanda Kastensmidt, and Paolo Rech -- Soft error modeling and simulation / Mojtaba Ebrahimi and Mehdi Tahoori -- Microarchitecture-level reliability assessment of multi-core processors / Athanasios Chatzidimitriou and Dimitris Gizopoulos -- Fault injection at the instruction set architecture (ISA) level / Karthik Pattabiraman and Guanpeng Li -- Analytical modeling for crosslayer resiliency / Arijit Biswas -- Stochastic methods / Alessandro Savino, Alessandro Vallero, and Stefano Di Carlo |
| Summary |
This book presents state-of-the-art solutions for increasing the resilience of computing systems, both at single levels of abstraction and multi-layers. It is a valuable resource for researchers, postgraduate students and professional computer architects focusing on the dependability of computing systems |
| Bibliography |
Included bibliographical references and index (pages 305-315) |
| Notes |
Online resource; title from PDF title page (IET, viewed Janary 28, 2021) |
| Subject |
Computer architecture.
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Stochastic processes.
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Stochastic Processes
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Computer architecture
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Stochastic processes
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computer architecture
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fault tolerant computing
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instruction sets
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multiprocessing systems
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stochastic processes
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| Form |
Electronic book
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| Author |
Di Natale, Giorgio editor
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Gizopoulos, Dimitris editor
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Di Carlo, Stefano editor
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Bosio, Alberto editor
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Canal, Ramon editor
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| ISBN |
1785617982 |
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9781785617980 |
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