Exploring resource mapping policies for dynamic clustering on NoC-based MPSoCs

Abstract

The dramatic increase in the number of processors, memories and other components in the same chip calls for resource-aware mechanisms to improve performance. This paper proposes four different resource mapping policies for NoC-based MPSoCs that leverage on distinct aspects of the parallel nature of the applications and on architecture constraints, such as off-chip memory latency. Results show that the use of these policies can improve performance up to 22.5% in average, and, in some cases, depending on the parallel programming model of each application, the improvement may reach up to 32%.