Abstract:

In the field of HPC, CPU/GPU co-processing technology has become one of the effective approaches for obtaining quick computing results. In the latest version of typical structural mechanics calculation software: ANSYS and Abaqus, CPU/GPU co-processing technology is adopted for improving the efficiency of problem solving. In the paper, a research is conducted by using typical structural problems, and NVIDIA Tesla M2090 GPU and "Hummingbird" supercomputing platforms from Shanghai Supercomputing Center, to compare and analyze problem solving efficiency of ANSYS and Abaqus before and after the acceleration of GPU. Results indicate that in the situation of parallel scale less than 16 cores, GPU acceleration can reduce solution time at different levels. However, the performance shows a decreasing trend with increasing parallel scale. In addition, the effect of Multi-GPU collaborative solution on enhancing acceleration performance is not obvious. Therefore, in practical application, the selection of appropriate parallel approach and co-processing model should be associated with problem type and current hardware architecture.

Key words: CPU/GPU;co-processing;acceleration performance;HPC