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Design and Test Strategies for 2D/3D Integration for NoC-based Multicore Architectures
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Design and Test Strategies for 2D/3D Integration for NoC-based Multicore Architectures

2020 ed.

Book Details

Format Paperback / Softback
ISBN-10 3030313123
ISBN-13 9783030313128
Edition 2020 ed.
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Country of Manufacture GB
Country of Publication GB
Publication Date Jan 10th, 2021
Print length 162 Pages
Ksh 8,100.00
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This book covers various aspects of optimization in design and testing of Network-on-Chip (NoC) based multicore systems.  It gives a complete account of the state-of-the-art and emerging techniques for near optimal mapping and test scheduling for NoC-based multicores. The authors describe the use of the Integer Line Programming (ILP) technique for smaller benchmarks and a Particle Swarm Optimization (PSO) to get a near optimal mapping and test schedule for bigger benchmarks. The PSO-based approach is also augmented with several innovative techniques to get the best possible solution. The tradeoff between performance (communication or test time) of the system and thermal-safety is also discussed, based on designer specifications.  Provides a single-source reference to design and test for circuit and system-level approaches to (NoC) based multicore systems;Gives a complete account of the state-of-the-art and emerging techniques for near optimal mapping and test scheduling in (NoC) based multicore systems;Organizes chapters systematically and hierarchically, rather than in an ad hoc manner, covering aspects of optimization in design and testing of Network-on-Chip (NoC) based multicore systems.

This book covers various aspects of optimization in design and testing of Network-on-Chip (NoC) based multicore systems.  It gives a complete account of the state-of-the-art and emerging techniques for near optimal mapping and test scheduling for NoC-based multicores. The authors describe the use of the Integer Line Programming (ILP) technique for smaller benchmarks and a Particle Swarm Optimization (PSO) to get a near optimal mapping and test schedule for bigger benchmarks. The PSO-based approach is also augmented with several innovative techniques to get the best possible solution. The tradeoff between performance (communication or test time) of the system and thermal-safety is also discussed, based on designer specifications.  

  • Provides a single-source reference to design and test for circuit and system-level approaches to (NoC) based multicore systems;
  • Gives a complete account of the state-of-the-art and emerging techniques for near optimal mapping and test scheduling in (NoC) based multicore systems;
  • Organizes chapters systematically and hierarchically, rather than in an ad hoc manner, covering aspects of optimization in design and testing of Network-on-Chip (NoC) based multicore systems.



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