Adaptive mapping for reducing power consumption on NoC-Based MPSoC

Intricacy of the S/W increased considerably nowadays. It needs smart application specific architectures as NoC based MPSoCs to achieve the high data communication with computation requirements. The design of these systems needs efficient functionalities accumulating fragmenting and mapping. In this manner, this paper makes partitioning and mapping influence on energy consumption of homogeneous NoC-Based MPSoC. In addition it compares two strategies to get efficient dynamic mappings. First one is, map tasks directly on the processors. Second is, applies a previous static task-partitioning and then use this information to choose the dynamic task mapping.