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[null,"1.","Record Nr.",null,"UNINA9910678251903321"]
[null,null,"Autore",null,"Li Xiaowei"]
[null,null,"Titolo",null,"Built-in Fault-Tolerant Computing Paradigm for Resilient Large-Scale Chip Design : A Self-Test, Self-Diagnosis, and Self-Repair-Based Approach / / by Xiaowei Li, Guihai Yan, Cheng Liu"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"981-19-8551-0"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (318 pages)"]
[null,null,"Disciplina",null,"004.2"]
[null,null,"Soggetti",null,"Computers"]
[{"$nulls":4},"Microprocessors"]
[{"$nulls":4},"Computer architecture"]
[{"$nulls":4},"Hardware Performance and Reliability"]
[{"$nulls":4},"Computer Hardware"]
[{"$nulls":4},"Processor Architectures"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Chapter 1: Introduction -- Chapter 2: Fault-tolerant general circuits with 3S -- Chapter 3: Fault-tolerant general purposed processors with 3S -- Chapter 4: Fault-tolerant network-on-chip with 3S -- Chapter 5: Fault-tolerant deep learning processors with 3S -- Chapter 6: Conclusion."]
[null,null,null,"Sommario/riassunto","With the end of Dennard scaling and Moore’s law, IC chips, especially large-scale ones, now face more reliability challenges, and reliability has become one of the mainstay merits of VLSI designs. In this context, this book presents a built-in on-chip fault-tolerant computing paradigm that seeks to combine fault detection, fault diagnosis, and error recovery in large-scale VLSI design in a unified manner so as to minimize resource overhead and performance penalties. Following this computing paradigm, we propose a holistic solution based on three key components: self-test, self-diagnosis and self-repair, or “3S” for short. We then explore the use of 3S for general IC designs, general-purpose processors, network-on-chip (NoC) and deep learning accelerators, and present prototypes to demonstrate how 3S responds to in-field silicon degradation and recovery under various runtime faults caused by aging, process variations, or radical particles. Moreover, we demonstrate that 3S not onlyoffers a powerful backbone for various "]
[{"$nulls":4},"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. ."]