Distributed resource management in NoC-based MPSoCs with dynamic cluster sizes

Scalability is an important issue in large MPSoCs. MPSoCs may execute several applications in parallel, with dynamic workload, and tight QoS constraints. Thus, the MPSoC management must be distributed to cope with such constraints. This paper presents a distributed resource management in NoC-Based MPSoC, using a clustering method, enabling the modification of the cluster size at runtime. This work addresses the following distributed techniques: task mapping, monitoring and task migration. Results show an important reduction in the total execution time of applications, reduced number of hops between tasks (smaller communication energy), and a reclustering method through monitoring and task migration.