多核微处理器并行图像处理的LogP和MLogP模型

C. Chui
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引用次数: 6

摘要

尽管多核微处理器的进步和可用性,但如何充分利用这个相对较新的计算平台来实现并行算法的最佳性能仍然是一个问题。现有的理论模型在分析多核微处理器系统的并行算法时存在局限性。所提出的多核LogP (MLogP)模型是一种更为现实的多核微处理器并行计算模型。MLogP模型是流行的用于并行计算的LogP模型的一个变体。通过并行图像处理算法实验,确定了LogP和MLogP模型在Intel Core2 Quad 2.44 GHz微处理器上预测并行图像处理算法性能的能力。
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The LogP and MLogP models for parallel image processing with multi-core microprocessor
Despite the advancement and availability of the multiple core microprocessors, it remains an issue on how to fully utilize this relatively new computing platform to achieve optimal performance for a parallel algorithm. There are limitations to the existing theoretical model in analyzing parallel algorithms for multi-core microprocessor systems. The proposed Multi-core LogP (MLogP) model is a more realistic model for parallel computing with multi-core microprocessor. The MLogP model is a variant of the popular LogP model for parallel computation. Experiment with parallel image processing algorithms were used to determine the abilities of LogP and MLogP models in predicting the performance of parallel image processing algorithms on a Intel Core2 Quad 2.44 GHz microprocessor.
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