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Porting Production Level Quantum Chromodynamics Code to Graphics Processing Units - A Case Study

机译:将生产水平的量子色动力学代码移植到图形处理单元-案例研究

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摘要

We present our findings and results of a project to port an existing large lattice QCD codebase to run on GPUs and clusters of GPUs. Our design principles from the start were to strive for both productivity and performance, while tackling the problems presented by a large constantly moving codebase. The resulting simulator reproduces the original results while running up to 11 times faster than our highly optimized CPU-code and meeting productivity requirements. Multi-GPU support was implemented using MPI and scaling across nodes shows good weak scaling. We also contemplate the consequences of the dawning of the parallel computing era from a lattice QCD point of view and analyze where state-of-the art contemporary parallel computing architecture could be improved.
机译:我们介绍了移植现有大型点阵QCD代码库以在GPU和GPU集群上运行的项目的发现和结果。从一开始,我们的设计原则就是为提高生产力和性能而努力,同时解决由大型且不断变化的代码库带来的问题。最终的模拟器可以再现原始结果,同时运行速度比我们高度优化的CPU代码快11倍,并且可以满足生产率要求。使用MPI实现了多GPU支持,跨节点扩展显示出良好的弱扩展。我们还从点阵QCD的角度考虑了并行计算时代即将来临的后果,并分析了可以改进现代并行计算体系结构的方面。

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