Data Structures and Transformations for Physically Based Simulation on a GPU

被引：0
|
作者：
Mistry, Perhaad [1 ]
Schaa, Dana [1 ]
Jang, Byunghyun [1 ]
Kaeli, David [1 ]
Dvornik, Albert [2 ]
Meglan, Dwight [2 ]
机构：
[1] Northeastern Univ, Dept Elect & Comp Engn, Boston, MA 02115 USA
[2] Simquest LLC, Boston, MA USA
来源：
HIGH PERFORMANCE COMPUTING FOR COMPUTATIONAL SCIENCE - VECPAR 2010 | 2011年 / 6449卷
基金：
美国国家科学基金会;
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
As general purpose computing on Graphics Processing Units (GPGPU) matures, more complicated scientific applications are being targeted to utilize the data-level parallelism available on a GPU. Implementing physically-based simulation on data-parallel hardware requires preprocessing overhead which affects application performance. We discuss our implementation of physics-based data structures that provide significant performance improvements when used on data-parallel hardware. These data structures allow us to maintain a physics-based abstraction of the underlying data, reduce programmer effort and obtain 6x-8x speedup over previously implemented GPU kernels.
引用
收藏
页码：162 / +
页数：2
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