Energy-Efficient Multi-Processor Systems-on-Chip for Embedded Computing: Exploring Programming Models and their Architectural Support

In today's multiprocessor SoCs (MPSoCs), parallel programming models are needed to fully exploit hardware capabilities and to achieve the 100 Gops/W energy efficiency target required for Ambient Intelligence Applications. However, mapping abstract programming models onto tightly power-constrained hardware architectures imposes overheads which might seriously compromise performance and energy efficiency. The objective of this work is to perform a comparative analysis of message passing versus shared memory as programming models for single-chip multiprocessor platforms. Our analysis is carried out from a hardware-software viewpoint: We carefully tune hardware architectures and software libraries for each programming model. We analyze representative application kernels from the multimedia domain, and identify application-level parameters that heavily influence performance and energy efficiency. Then, we formulate guidelines for the selection of the most appropriate programming model and its architectural support.