High efficient sedimentary basin simulations on hybrid CPU-GPU clusters
Cluster Computing(2013)
摘要
The key to achieving high performance on a GPU-enhanced cluster is efficient exploitation of each GPU’s powerful computing capability. Moreover, rationally balancing the workload between CPUs and GPUs can release additional computing power, which arises from the CPUs. In this paper, we extend our earlier work on using a hybrid CPU-GPU cluster for real-world sedimentary basin simulation, by further improving the involved CUDA implementations. A thorough analysis of the achieved new performance is also carried out. By using 1024 GPUs and 12288 CPU cores together, our best CPU-GPU hybrid implementation is able to achieve a double-precision performance of 72.8 TFlops, in connection with simulations on a huge 131072×131072 mesh.
更多查看译文
关键词
Dual-lithology sedimentary simulation,CPU-GPU hybrid computing,CUDA programming
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络