Optimization of operating and assembling mass properties of solid elements on heterogeneous platforms using OpenCL framework

Model sizes have increased significantly in the fields of engineering and scientific computation. Some additional computing devices such as GPU, accelerators and co-processors have been applied to improve the computation performance. This paper presents several strategies to optimize the computation performance. The first strategy is to combine a computation unit with multiple of 4-tetrahedrons to support AVX vectorization. The second strategy is to utilize a GPU device. Several techniques are proposed to reduce the time for data exchange between host and GPU memory spaces. The proposed techniques are implemented by using OpenCL framework. The mass property of many solid finite elements is calculated and its computation performances on various computation platforms are compared. Numerical experiments showed that computation performance has improved 26.47 times on CPU and 6.95 on GPU, compared to the version without using the proposed techniques.This work was supported by VirtualMotion, Inc, Korea