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Multi-Kepler GPU vs. multi-intel MIC: A two test case performance study

机译:多开普勒GPU与多英特尔MIC:两个测试用例绩效研究

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We present and compare the performances of two many-core architectures: the Nvidia Kepler and the Intel MIC both in a single system and in cluster configuration for the simulation of two physical systems. As a first benchmark we consider the time required to update a single spin of the 3D Heisenberg spin glass model by using the Over-relaxation algorithm. The second application we consider is a reactive fluid-dynamics problem for which we resolve the full Navier-Stokes compressible set of equations without resorting to a turbulence model. The results show that the performances of an Intel MIC change dramatically depending on (apparently) minor details. Another issue is that to obtain a reasonable scalability with the Intel Phi coprocessor in cluster configuration it is necessary to use the so-called offload mode which reduces the performances of the single system. All source codes are provided for inspection and for double-checking the results.
机译:我们展示并比较了两个许多核心架构的性能:NVIDIA开普勒和英特尔麦克风都在单个系统中以及用于模拟两个物理系统的集群配置中。作为第一个基准测试,我们考虑通过使用过松释放算法更新三维Heisenberg旋转玻璃模型所需的时间。我们考虑的第二个应用是一种反应性流体动力学问题,我们解决了全Navier-Stokes可压缩方程集,而无需诉诸湍流模型。结果表明,英特尔麦克风的性能急剧变化,取决于(显然)次要细节。另一个问题是,为了在群集配置中使用英特尔PHI协处理器获得合理的可扩展性,是必要使用所谓的卸载模式,这减少了单个系统的性能。提供所有源代码进行检查,并进行双重检查结果。

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