PSO BASED OUT-OF-ORDER (OOO) EXECUTION SCHEME FORHTMPSOC

In this paper, the influence of the dynamic task scheduling process is examined. Out-of-Order (OoO) implementation remarkable guarantee for task-level parallelism in multiprocessor system-on-chip (MPSoC) designs. The superior performance can be attained with the help of a precise mapping of tasks onto the right processors. Hence, to obtain this performance, a Particle Swarm Optimization(PSO) based task parallelism is presented in this paper. The software related dynamic operations are illustrated on a heterogeneous MPSoC (Ht-MPSoC). PSO abides by a cooperative population-based search, which demonstrates the social activities of birds grouping. PSO system merges local search approaches with global search approaches. This implementation decreases the issue of task management. The performance of the proposed design is compared with the existing work for area, power and speed analysis