From SSE to OpenCL: Comparison of Parallel Algorithms for Skeletal Animation on Multi-core CPUs

Authors

Shousheng Liu, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China;
Chen Ge, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China;
Chunyong Ma, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China;
Han Yong, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China;

Abstract

Abstract: While skeletal animations consist of high fidelity mesh and complex vertex binding, there is a huge performance bottleneck. Previous studies used GPUs to accelerate animation, but the general purpose computing performance of cheap GPUs was lower than high end CPUs. In order to explore the performance for multi-core CPUs to make up the shortfall of cheap GPUs for general purpose computing, the latest parallel scheme based on OpenCL which integrated the former two levels of parallelization was proposed, comparing to the traditional parallel scheme formed by SSE and OpenMP oriented to instruction parallelization and thread parallelization separately. The experimental results show that on most CPU with different complex data, the performance of the parallel scheme based on OpenCL is better than SSE. And the more complex the data is, the greater the performance advantage grows.

Recommended Citation

Liu, Shousheng; Ge, Chen; Ma, Chunyong; and Yong, Han (2020) "From SSE to OpenCL: Comparison of Parallel Algorithms for Skeletal Animation on Multi-core CPUs," Journal of System Simulation: Vol. 27: Iss. 2, Article 16.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss2/16

First Page

336

Revised Date

2014-04-30

DOI Link

https://doi.org/

Last Page

343

CLC

TP391.9

Recommended Citation

Liu Shousheng, Chen Ge, Ma Chunyong, Han Yong. From SSE to OpenCL: Comparison of Parallel Algorithms for Skeletal Animation on Multi-core CPUs[J]. Journal of System Simulation, 2015, 27(2): 336-343.