Data Structures And Transformations For Physically Based Simulation On A Gpu
VECPAR'10: Proceedings of the 9th international conference on High performance computing for computational science(2011)
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.
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关键词
Physic Simulation, Single Instruction Multiple Data, Surgical Simulation, Data Layout, Object Array
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