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Bio-Inspired Fault-Tolerant Algorithms for Network-on-Chip (Hardcover) Loot Price: R3,633
Discovery Miles 36 330
Bio-Inspired Fault-Tolerant Algorithms for Network-on-Chip (Hardcover): Muhammad Athar Javed Sethi

Bio-Inspired Fault-Tolerant Algorithms for Network-on-Chip (Hardcover)

Muhammad Athar Javed Sethi

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Loot Price R3,633 Discovery Miles 36 330 | Repayment Terms: R340 pm x 12*

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Network on Chip (NoC) addresses the communication requirement of different nodes on System on Chip. The bio-inspired algorithms improve the bandwidth utilization, maximize the throughput and reduce the end-to-end latency and inter-flit arrival time. This book exclusively presents in-depth information regarding bio-inspired algorithms solving real world problems focussing on fault-tolerant algorithms inspired by the biological brain and implemented on NoC. It further documents the bio-inspired algorithms in general and more specifically, in the design of NoC. It gives an exhaustive review and analysis of the NoC architectures developed during the last decade according to various parameters. Key Features: Covers bio-inspired solutions pertaining to Network-on-Chip (NoC) design solving real world examples Includes bio-inspired NoC fault-tolerant algorithms with detail coding examples Lists fault-tolerant algorithms with detailed examples Reviews basic concepts of NoC Discusses NoC architectures developed-to-date

General

Imprint: Crc Press
Country of origin: United Kingdom
Release date: April 2020
First published: 2020
Authors: Muhammad Athar Javed Sethi
Dimensions: 234 x 156 x 19mm (L x W x T)
Format: Hardcover
Pages: 194
ISBN-13: 978-0-367-42590-6
Categories: Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components
Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > General
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LSN: 0-367-42590-4
Barcode: 9780367425906

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