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

页码：162 / +

页数：2

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