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| 024 | 7 |
_a10.1007/978-981-19-8551-5 _2doi |
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_aTK7874 _b2023 EB |
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_aLi, Xiaowei _d1964- _eautor _0(orcid)0000-0002-0874-814X _1https://orcid.org/0000-0002-0874-814X _4http://id.loc.gov/vocabulary/relators/aut _9689506 |
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| 245 | 1 | 0 |
_aBuilt-in Fault-Tolerant Computing Paradigm for Resilient Large-Scale Chip Design : _bA Self-Test, Self-Diagnosis, and Self-Repair-Based Approach _cby Xiaowei Li, Guihai Yan, Cheng Liu |
| 250 | _a1st ed 2023 | ||
| 264 | 1 |
_aSingapore _bSpringer Nature _c2023 |
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| 300 | _a1 recurso en línea | ||
| 336 |
_atexto _btxt _2rdacontent |
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_aelectrónico _bc _2rdamedia |
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_arecurso electrónico _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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| 505 | 0 | _aChapter 1: Introduction -- Chapter 2: Fault-tolerant general circuits with 3S -- Chapter 3: Fault-tolerant general purposed processors with 3S -- Chapter 4: Fault-tolerant network-on-chip with 3S -- Chapter 5: Fault-tolerant deep learning processors with 3S -- Chapter 6: Conclusion. | |
| 520 | _aWith the end of Dennard scaling and Moore's law, IC chips, especially large-scale ones, now face more reliability challenges, and reliability has become one of the mainstay merits of VLSI designs. In this context, this book presents a built-in on-chip fault-tolerant computing paradigm that seeks to combine fault detection, fault diagnosis, and error recovery in large-scale VLSI design in a unified manner so as to minimize resource overhead and performance penalties. Following this computing paradigm, we propose a holistic solution based on three key components: self-test, self-diagnosis and self-repair, or "3S" for short. We then explore the use of 3S for general IC designs, general-purpose processors, network-on-chip (NoC) and deep learning accelerators, and present prototypes to demonstrate how 3S responds to in-field silicon degradation and recovery under various runtime faults caused by aging, process variations, or radical particles. Moreover, we demonstrate that 3S not only offers a powerful backbone for various on-chip fault-tolerant designs and implementations, but also has farther-reaching implications such as maintaining graceful performance degradation, mitigating the impact of verification blind spots, and improving chip yield. This book is the outcome of extensive fault-tolerant computing research pursued at the State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences over the past decade. The proposed built-in on-chip fault-tolerant computing paradigm has been verified in a broad range of scenarios, from small processors in satellite computers to large processors in HPCs. Hopefully, it will provide an alternative yet effective solution to the growing reliability challenges for large-scale VLSI designs. . | ||
| 988 | _aSpringer_Computer_2023 | ||
| 650 | 7 |
_2embne _9139614 _aCircuitos integrados |
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| 700 | 1 |
_9689507 _aYan, Guihai _eautor |
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| 700 | 1 |
_912362 _aLiu, Cheng _eautor |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-8551-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_b01/2024 _dz _eb _zSI |
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