Bio-inspired fault-tolerant algorithms for network-on-chip. (2020)

• Record Type: Book
• Further Information: Note: By Muhammad Athar Javed Sethi.
• Authors: Sethi, Muhammad Athar Javed
• Contents: Chapter 1: (Introduction) 1.1 Network on Chip 1.2 Fault tolerance 1.3 Why Bio-inspired Algorithms For Fault tolerance 1.4 Bio-inspired Fault-tolerant Algorithms Objectives 1.5 Book Contributions 1.6 Organization of the Book Chapter 2: (In-depth Review of Network on Chip) 2.1 Link Sharing Mechanism 2.3 Switching Techniques 2.4 Buffer Management Techniques 2.5 NoC Evaluation Parameters 2.6 NoC Clocking Mechanism 2.7 NoC Topologies 2.8 Open Source 2.9 NoC Connection Types 2.10 NoC Size 2.11 NoC Implementation Platforms 2.12 NoC Buffering Mechanisms 2.13 NoC PE-router Interface 2.14 NoC Frequency and Technology 2.15 NoC Area and Power Consumption 2.16 NoC Router Ports and Bus Width 2.17 NoC Year of Proposal, Flit size and Latency 2.18 Quality of Services (QoS) Summary Chapter 3: (Bio-inspired algorithms and implementation) 3.1 Swarm Intelligence Algorithms (SIA) 3.2 Ant Colony Optimization (ACO) 3.3 Artificial Immune System (AIS) 3.4 Firefly Algorithm 3.5 Epidemic Spreading 3.6 Flower Pollination Algorithm (FPA) 3.7 Artificial Bee Colony Algorithm (ABC) 3.8 Cat Swarm Optimization (CSO) 3.9 Cuckoo Search (CS) 3.10 Bat Algorithm (BA) 3.11 Cuttlefish Algorithm (CFA) 3.12 Harris Hawks Optimization (HHO) 3.13 Killer Whale Algorithm (KWA) 3.14 Cobweb Network on Chip (NoC) Topology 3.15 Scalable Bio-inspired Fault Detection Unit (FDU) in Network on Chip 3.16 Autonomous Error Tolerant (AET) Architecture 3.17 SpiNNaker Communication 3.18 Autonomic Network on Chip using the Biological Immune System 3.19 Fault-Tolerant NoC using Biological Brain Techniques 3.20 Bio-Inspired Online Fault Detection in NoC Interconnect 3.21 Bio-inspired Self-Aware NoC Fault-Tolerant Routing Algorithm Chapter 4: (Bio-inspired NoC fault-tolerant algorithms) 4.1 Biological Brain Characteristics 4.2 Synaptogenesis 4.3 Sprouting 4.4 Bio-inspired NoC Algorithms 4.5 Bio-inspired NoC Framework 4.6 Bio-inspired NoC Network 4.7 Bio-inspired NoC Fault-Tolerant Algorithm 4.8 Bio-inspired BE and GT NoC algorithm and architectures Summary Chapter 5: (Analysis of bio-inspired NoC fault-tolerant algorithms) 5.1 Research framework, design and parameters 5.2 Bio-inspired NoC fault-tolerant algorithms result analysis Summary Chapter 6: (Conclusion and future work) 6.1 Future work
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2020
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 621.3981; Networks on a chip -- Mathematics; Fault-tolerant computing; Biomimicry
• Languages: English
• ISBNs: 9781000048117; 9781000048056; 9781000048087; 9780367853747
• Related ISBNs: 9780367425906
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.