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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.
MPSoCs, embedded multimedia, programming models, task-level parallelism, energy efficiency, low power.
Francesco Poletti, Antonio Poggiali, Davide Bertozzi, Luca Benini, Pol Marchal, Mirko Loghi, Massimo Poncino, "Energy-Efficient Multiprocessor Systems-on-Chip for Embedded Computing: Exploring Programming Models and Their Architectural Support", IEEE Transactions on Computers, vol. 56, no. , pp. 606-621, May 2007, doi:10.1109/TC.2007.1040
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