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ACM SIGGRAPH Conference 2008

作者： Hou, Qiming Zhou, Kun Guo, Baining Tsinghua Univ Beijing Peoples R China

We present BSGP. a new programming language for general purpose computation on the GPU. A BSGP program looks much the same as a sequential C program. Programmers only need to supply a bare Minimum of extra information to describe parallel processing on GPUs. As a result, BSGP programs are easy to read, write. and maintain. Moreover, the ease of programming does not come at the cost of performance. A well-designed BSGP compiler converts BSGP programs to kernels and combines them using optimally allocated temporary streams. In our benchmark, BSGP programs achieve similar or better performance than well-optimized CUDA programs. while the source code complexity and programming time are significantly reduced. To test BSGP's code efficiency and ease of programming, we implemented a variety of GPU applications, including a highly sophisticated X3D parser that would be extremely difficult to develop with existing GPU programming languages.

关键词： programable graphics hardware stream processing bulk synchronous parallel programming thread manipulation

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BSGP: bulk-synchronous GPU programming

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ACM TRANSACTIONS ON GRAPHICS 2008年第3期27卷

作者： Hou, Qiming Zhou, Kun Guo, Baining Tsinghua Univ Beijing Peoples R China

关键词： programable graphics hardware stream processing bulk synchronous parallel programming thread manipulation

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BSGP: bulk-synchronous GPU programming 08

BSGP: bulk-synchronous GPU programming

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ACM SIGGRAPH 2008 papers

作者： Qiming Hou Kun Zhou Baining Guo Tsinghua University Microsoft Research Asia Tsinghua University and Microsoft Research Asia

ISBN: (纸本)9781450301121

We present BSGP, a new programming language for general purpose computation on the GPU. A BSGP program looks much the same as a sequential C program. Programmers only need to supply a bare minimum of extra information to describe parallel processing on GPUs. As a result, BSGP programs are easy to read, write, and maintain. Moreover, the ease of programming does not come at the cost of performance. A well-designed BSGP compiler converts BSGP programs to kernels and combines them using optimally allocated temporary streams. In our benchmark, BSGP programs achieve similar or better performance than well-optimized CUDA programs, while the source code complexity and programming time are significantly reduced. To test BSGP's code efficiency and ease of programming, we implemented a variety of GPU applications, including a highly sophisticated X3D parser that would be extremely difficult to develop with existing GPU programming languages.

关键词： stream processing bulk synchronous parallel programming thread manipulation programable graphics hardware

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