High efficient sedimentary basin simulations on hybrid CPU-GPU clusters

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.