Graphics Processing Units (GPUs) have become increasingly powerful over the last decade. With most of their transistors devoted to processing rather than caching or flow control, GPUs have very high throughput. Programs taking advantage of this architecture can achieve large performance gains. To write programs that can offload the computation onto the GPU and utilize its power, new technologies are needed. Recently, a standard called OpenCL was introduced.
Code written with OpenCL can run on a wide variety of platforms, adapting to the underlying architecture. It is an open, powerful, standard that is easy to learn due to similarities with the C programming language.
Running simulations with OpenCL on the GPU architecture is highly recommended, and based on the experiments conducted, simulating many-particle systems on the GPU can boost performance by factors of ∼2 to ∼75.
|Commitee:||Black, Don V., Ebert, Todd|
|School:||California State University, Long Beach|
|Department:||Computer Engineering and Computer Science|
|School Location:||United States -- California|
|Source:||MAI 51/05M(E), Masters Abstracts International|
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