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Enhancing Image Processing Performance for PCID in a Heterogeneous Network of Multi-core Processors

机译:在多核处理器的异构网络中提高PCID的图像处理性能

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The Phy sically-Constrained Iterative Deconvolution (PCID) image deblurring code i s being ported to heterogeneous networks of multi-core systems, including Intel Xeons and IBM Cell Broadband Engines. This paper reports results from experiments using the JAWS supercomputer at MHPCC (60 TFLOPS of dual -dual Xeon nodes linked with Infiniband) and the Cell Cluster at AFRL in Rome, NY. The Cell Cluster has 52 TFLOPS of Playstation 3 (PS3) nodes with IBM Cell Broadband Engine m ulti-cores and 15 dual-quad Xeon head nodes. The interconnect fabric includes Infiniband, 10 Gigabit Ethernet and 1 Gigabit Ethernet to each of the 336 PS3s. The results compare approaches to parallelizing FFT executions across the Xeons and the Cell's Synergistic Processing Elements (SPEs) for fram e-level im age p rocessing. The experiments included In tel's Perfo rmance Prim itives an d Math Kern el Library, and FFTW3.2.
机译:PHY的系统约束迭代解卷积(PCID)图像去孔码I S被移植到多核系统的异构网络,包括英特尔Xeons和IBM小区宽带发动机。本文报告了使用MHPCC的JAWS超级计算机的实验结果(与Infiniband连接的双重Xeon节点的60 Tflops)和纽约州的AFRL中的细胞集群。 Cell群集具有52个PlayStation 3(PS3)节点的PlayStation 3(PS3)节点,IBM Cell Broadband Engine M Ulti-Cores和15个双Quad Xeon Head节点。互连织物包括Infiniband,10千兆以太网和1千兆以太网到336 PS3中的每一个。结果比较了跨越XEONS和小区协同处理元件(SPE)并将FFT执行并行化的方法,用于FRAM E级IM年龄P rocessing。该实验包括在Tel的Perfo Rmance Prim Itives D Math Kern El图书馆和FFTW3.2。

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