| Autor: |
Manoj Kumar Singh, C. Lakshminarayana, K. C. Shilpa |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
Lecture Notes in Electrical Engineering ISBN: 9789811358012 |
| DOI: |
10.1007/978-981-13-5802-9_95 |
| Popis: |
Allocation of resource and binding it to functional unit at high-level synthesis an optimal problem to minimize the area and performance in terms of resource sharing and binding is presented in this paper. The paper presents the comparative analysis of nature-inspired computation techniques for resource allocation and binding: 1. Evolutionary-based computation: genetic algorithm. 2. Swarm intelligence-based computation: particle swarm optimization. The comparative analysis of the results shows genetic algorithm surpasses particle swarm optimization in providing the precise mapping between the operation and functional unit sharing with zero errors in resource allocation. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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