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BSGP: Bulk-synchronous GPU programming
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DOI：10.1145/1360612.1360618.png)
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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.
Keyword:
programable graphics hardware
stream processing
bulk synchronous parallel programming
thread manipulation
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