Xeon/Xeon- phi节点上详细的大脑模型模拟的第一印象

G. Chatzikonstantis, D. Rodopoulos, Sofia Nomikou, C. Strydis, C. I. Zeeuw, D. Soudris
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引用次数: 5

摘要

生理上合理的神经元模型的发展伴随着复杂性的增加,这对多核计算提出了挑战。在这项工作中,我们选择了对下橄榄核神经元的苛刻的霍奇金-赫胥黎模型的扩展,这是一个对运动技能至关重要的区域。计算结构的选择是英特尔Xeon-Xeon Phi系统,广泛用于现代计算基础设施。目标应用程序通过MPI和OpenMP的组合并行化。最好的配置是按比例扩展到人类InfOli数字。
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First impressions from detailed brain model simulations on a Xeon/Xeon-Phi node
The development of physiologically plausible neuron models comes with increased complexity, which poses a challenge for many-core computing. In this work, we have chosen an extension of the demanding Hodgkin-Huxley model for the neurons of the Inferior Olivary Nucleus, an area of vital importance for motor skills. The computing fabric of choice is an Intel Xeon-Xeon Phi system, widely-used in modern computing infrastructure. The target application is parallelized with combinations of MPI and OpenMP. The best configurations are scaled up to human InfOli numbers.
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