Association for Computing Machinery
Task mapping defines the best placement of a given task in the MPSoC, according to some criteria, as energy or Manhattan distance minimization. The ITRS roadmap forecast in a near future MPSoCs with hundreds of Processing Elements (PEs). Therefore, dynamic mapping heuristics are required. An important gap is observed in the mapping literature: the lack of proposals targeting multi-task dynamic mapping. In this context, the present work proposes an energy-aware dynamic task mapping heuristic, allowing multiple tasks allocation per PE. Experimental results are executed in an actual MPSoC running distributed applications.