Mapping Real Time Applications on NoC Architecture with Hybrid Multi-objective PSO Algorithm

Abstract

Many tools will be required to develop a NoC architecture for a specific application. A tool which can map and schedule an application or a set of applications to a given NoC architecture will be essential and must be able to satisfy many relative trade-offs (real-time, performance, low power consumption, time to market, re-usability, cost, area, etc). This paper targets a very important sentence in the cycle development embedded systems, the design software. Our problem is related to the issue of solving the problem of placing application in a network on chip under the constraints of load balancing, bandwidth, available memory, size of the queue with the objective of minimizing execution time and therefore energy consumption. Our approach is based on a new approach PSO (Particle Swarm Optimization) to solve the problem of placement.