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MULTITHREADING ON MULTICORES IMPACT ON REMOTE SENSING COMPUTATIONS

机译:多重心对遥感计算的影响

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Multithreading on a multicore approach can potentially increase the multitemporal performance computing of the huge quantity of satellite remotely sensed data. In the present paper, a study of the computation time performance has been carried out. Thus, with two foremost remote sensing algorithms implemented into a self developed Multitemporal Multithreading on Multicore Computations Framework (3MCF). The 3MCF was applied and benchmarked on different hardware architectures: i) two cores (Intel Pentium D, Intel Core 2 Duo, AMD Athlon X2), ii) four cores (Intel Core 2 Quad, Intel i7), and iii) eight cores (Xeon Nehalem). Final adapted benchmark results (with a total number of 414720 benchmarks) show a gain of 8X for the octal core, 4X for the quad core and 2X for the dual core.
机译:多核方法上的多线程可以潜在地提高对大量卫星遥感数据的多时相性能计算。在本文中,已经进行了计算时间性能的研究。因此,在最先进的多核计算框架(3MCF)上,将两种最重要的遥感算法实施到自己开发的多时态多线程中。 3MCF在不同的硬件体系结构上进行了应用和基准测试:i)两个内核(Intel Pentium D,Intel Core 2 Duo,AMD Athlon X2),ii)四个内核(Intel Core 2 Quad,Intel i7)和iii)八个内核( Xeon Nehalem)。经过最终调整的基准测试结果(总共414720个基准测试)显示,八核处理器的增益为8倍,四核处理器的增益为4倍,双核处理器的增益为2倍。

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