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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.
| Autorius: | Jimson Mathew, Kanchan Manna, |
| Leidėjas: | Springer Nature Switzerland |
| Išleidimo metai: | 2021 |
| Knygos puslapių skaičius: | 176 |
| ISBN-10: | 3030313123 |
| ISBN-13: | 9783030313128 |
| Formatas: | 235 x 155 x 10 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Design and Test Strategies for 2D/3D Integration for NoC-based Multicore Architectures“
