Resumen

SACANAMBOY-FRANCO, Maribell; BOLANOS-MARTINEZ, Freddy; BERNAL-NORENA, Álvaro  y  NIETO-LONDONO, Rubén. Genetic algorithm for task mapping in embedded systems on a hierarchical architecture based on wireless network on chip WiNoC. Dyna rev.fac.nac.minas [online]. 2017, vol.84, n.201, pp.202-209. ISSN 0012-7353.  https://doi.org/10.15446/dyna.v84n201.53886.

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.

Palabras clave : WiNoC; NoC; Wireless; Hierarchical; Genetic; Mapping.

        · resumen en Español     · texto en Inglés     · Inglés ( pdf )