Exploiting multi-core and many-core architectures for efficient simulation of biologically realistic models of Golgi cells
Exploiting multi-core and many-core architectures for efficient simulation of biologically realistic models of Golgi cells
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DOI：
10.1016/j.jpdc.2018.12.004
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发表时间：
2019-04-01
影响因子：
3.8
通讯作者：
Leporati, Francesco
中科院分区：
文献类型：
--
作者：
Florimbi, Giordana;Torti, Emanuele;Leporati, Francesco
真实的神经元活动模拟对于神经科学家来说至关重要。这些模拟可以测试新药、研究脑部病理学并发现在计算机实验而不是体内实验中进行的创新疗法。然而，模拟这些模型所需的处理时间非常长。因此，应该探索高性能计算技术以提供更快的模拟。在这项工作中，作者描述了基于多核和众核方法的高尔基细胞活动的高性能和真实模拟。因此，模拟是在多核 Intel 处理器和 NVIDIA 图形处理单元上执行的。此外，作者通过提出基于 OpenCL 范式的解决方案解决了异构设备之间的可移植性问题。获得的结果表明，所考虑的并行技术，特别是 GPU5，适合此类模拟并显着减少处理时间。 (C) 2018 Elsevier Inc. 保留所有权利。
Realistic neuronal activity simulation is of central importance for neuroscientists. These simulations allow to test new drugs, to study cerebral pathologies and to discover innovative therapies undertaking in silico experiments instead of in vivo ones. However, the processing times needed to simulate these models are very long. Therefore, high performance computing technologies should be explored in order to provide faster simulations. In this work, authors described high performant and realistic simulations of Golgi cells activity, based on the multi-core and the many-core approaches. Thus, simulations are performed on multi-core Intel processors and on NVIDIA Graphics Processing Units. Moreover, authors addresses the issue of portability among heterogeneous devices by proposing a solution based on OpenCL paradigm. The obtained results show that the considered parallel technologies, in particular the GPU5, are suitable for that kind of simulations and significantly reduce processing times. (C) 2018 Elsevier Inc. All rights reserved.