Genetic algorithm for task mapping in embedded systems on a hierarchical architecture based on wireless network on chip WiNoC
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Universidad Nacional de Colombia
2017
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| _version_ | 1876491446645686272 |
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| author | Maribell Sacanamboy-Franco |
| author_facet | Maribell Sacanamboy-Franco |
| contents | Genetic algorithm for task mapping in embedded systems on a hierarchical architecture based on wireless network on chip WiNoC Maribell Sacanamboy-Franco Freddy Bolaños-Martinez Álvaro Bernal-Noreña Rubén Nieto-Londoño Ingeniería NoC WiNoC Genetic Mapping Wireless Network on Chip (NoC) systems were originally developed to provide high performance, using the availability of several processing units, connected to a wired network inside the integrated circuit. Wireless NoC (WiNoC or WNoC) are a natural evolution of NoC systems, which integrate a hierarchical communication inside the chip for the sake of improving scalability. Task mapping in WNoC systems represents a challenging process, which often involves several optimization objectives, such as power, performance, throughput, resources usage, and network metrics. This paper describes a genetic algorithm based approach for finding optimal tasks-mapping solutions in design time, for embedded systems working over a WiNoC. The optimization objectives were: Speedup, Energy Consumption, and Bandwidth. The target network used for simulation may be viewed as a two-level hierarchical WiNoC. The first level corresponds to a set of subnets which are linked by wires and mesh-type. The second level corresponds to a star-topology of wireless links, which connect the first level subnets. Proposed algorithm exhibits a good performance in relation to the optimization objectives, concerning the target heterogeneous WiNoC. 2017 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49650911016 https://www.redalyc.org/journal/496/49650911016/ https://www.redalyc.org/journal/496/49650911016/html/ https://www.redalyc.org/journal/496/49650911016/49650911016.epub https://www.redalyc.org/journal/496/49650911016/movil 10.15446/dyna.v84n201.53886 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.201 Vol.84 |
| format | Artículo científico |
| id | redalyc_49650911016 |
| institution | Redalyc |
| language | en |
| publishDate | 2017 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Genetic algorithm for task mapping in embedded systems on a hierarchical architecture based on wireless network on chip WiNoC Maribell Sacanamboy-Franco Ingeniería NoC WiNoC Genetic Mapping Wireless Genetic algorithm for task mapping in embedded systems on a hierarchical architecture based on wireless network on chip WiNoC Maribell Sacanamboy-Franco Freddy Bolaños-Martinez Álvaro Bernal-Noreña Rubén Nieto-Londoño Ingeniería NoC WiNoC Genetic Mapping Wireless Network on Chip (NoC) systems were originally developed to provide high performance, using the availability of several processing units, connected to a wired network inside the integrated circuit. Wireless NoC (WiNoC or WNoC) are a natural evolution of NoC systems, which integrate a hierarchical communication inside the chip for the sake of improving scalability. Task mapping in WNoC systems represents a challenging process, which often involves several optimization objectives, such as power, performance, throughput, resources usage, and network metrics. This paper describes a genetic algorithm based approach for finding optimal tasks-mapping solutions in design time, for embedded systems working over a WiNoC. The optimization objectives were: Speedup, Energy Consumption, and Bandwidth. The target network used for simulation may be viewed as a two-level hierarchical WiNoC. The first level corresponds to a set of subnets which are linked by wires and mesh-type. The second level corresponds to a star-topology of wireless links, which connect the first level subnets. Proposed algorithm exhibits a good performance in relation to the optimization objectives, concerning the target heterogeneous WiNoC. 2017 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49650911016 https://www.redalyc.org/journal/496/49650911016/ https://www.redalyc.org/journal/496/49650911016/html/ https://www.redalyc.org/journal/496/49650911016/49650911016.epub https://www.redalyc.org/journal/496/49650911016/movil 10.15446/dyna.v84n201.53886 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.201 Vol.84 |
| title | Genetic algorithm for task mapping in embedded systems on a hierarchical architecture based on wireless network on chip WiNoC |
| topic | Ingeniería NoC WiNoC Genetic Mapping Wireless |
| url | https://www.redalyc.org/articulo.oa?id=49650911016 https://www.redalyc.org/journal/496/49650911016/ https://www.redalyc.org/journal/496/49650911016/html/ https://www.redalyc.org/journal/496/49650911016/49650911016.epub https://www.redalyc.org/journal/496/49650911016/movil |