GPU Acceleration of an Established Solar MHD Code using OpenACC
GPU Acceleration of an Established Solar MHD Code using OpenACC
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DOI：
10.1088/1742-6596/1225/1/012012
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发表时间：
2018-11
期刊：
影响因子：
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通讯作者：
R. Caplan;J. Linker;Z. Mikić;C. Downs;T. Török;V. Titov
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文献类型：
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作者：
R. Caplan;J. Linker;Z. Mikić;C. Downs;T. Török;V. Titov
GPU加速器对许多学科的高性能计算产生了显着的影响。它们以低成本/低功耗提供高性能，因此已成为许多大型超级计算机的主要计算资源。在这里，我们使用OpenACC以完全可移植的单源方式在Solar MHD代码（MAS）中实现多GPU加速。我们的初步实施是集中在MAS运行在一个减少物理“零测试”模式。虽然它本身很有价值，但我们的主要目标是为一个完整的物理学，热力学MHD实现铺平道路。我们描述了OpenACC的实施方法和挑战。在多CPU和多GPU系统上显示了生产级磁通绳喷发模拟的“时间解决方案”性能结果。我们发现，GPU加速的MAS代码有能力在一个单一的多GPU服务器上运行“零测试”模拟的速度，以前需要多个CPU服务器节点的超级计算机。
GPU accelerators have had a notable impact on high-performance computing across many disciplines. They provide high performance with low cost/power, and therefore have become a primary compute resource on many of the largest supercomputers. Here, we implement multi-GPU acceleration into our Solar MHD code (MAS) using OpenACC in a fully portable, single-source manner. Our preliminary implementation is focused on MAS running in a reduced physics “zero-beta” mode. While valuable on its own, our main goal is to pave the way for a full physics, thermodynamic MHD implementation. We describe the OpenACC implementation methodology and challenges. “Time-to-solution” performance results of a production-level flux rope eruption simulation on multi-CPU and multi-GPU systems are shown. We find that the GPU-accelerated MAS code has the ability to run “zero-beta” simulations on a single multi-GPU server at speeds previously requiring multiple CPU server-nodes of a supercomputer.