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

Energy-Efficient Multiprocessor Systems-on-Chip for Embedded Computing: Exploring Programming Models and Their Architectural Support

POLETTI, FRANCESCO;BENINI, LUCA;
2007

Abstract

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
2007
F. Poletti; A. Poggiali; Davide Bertozzi; L. Benini; P. Marchal; M. Loghi; M. Poncino
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/46048
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