在嵌入式多媒体处理领域中,多处理器片上系统(multi-proces sorsystem-on-chip,简称MPSoC)的应用越来越广泛.多媒体处理MPSoC通常采用“主处理器核+多个异构协处理器核”的主流体系结构.该结构兼顾了、MPSoC系统的通用性与灵活性、性能与功耗,但也向MPSoC的性能优化方法提出了更高的要求.针对异构MPSoC上的多媒体应用算法,提出了一种MPSoC多媒体处理性能优化方法.该方法经过应用特征分析、循环仿射划分、应用向MPSoC各处理器核的映射,实现了优化的数据局部性与多级并行性,从而提高了异构MPSoC上多媒体应用算法的性能.实验结果表明,该方法对于多媒体应用算法在异构MPSoC上的处理性能优化方面取得了明显效果.
MPSoCs (multi-processor system-on-chips) are comprehensively applied in the embedded multimediaprocessing field. Multimedia MPSoCs often adopt the "host processor+multiple heterogeneous synergistic processor" architecture, which makes the trade-off between universality and flexibility. MPSoCs also take into consideration both performance and power-consumption, but challenges the method of performance optimization of System-on-Chip applications. This paper proposes an approach that improves the performance of application algorithms running on heterogeneous MPSoCs. The approach includes three stages: Application feature analysis, affine partitioning of kernel loops, and "application-architecture" mapping. It optimizes the multi-level parallelism and data locality of application algorithms to improve MPSoC performance. Experimental results show that the proposed approach can greatly improve the multimedia processing performance on heterogeneous MPSoCs.