Compiling an Array Language to a Graphics Processor

Bradford Larsen
University of New Hampshire
University of New Hampshire, 2010


   title={Compiling an Array Language to a Graphics Processor},

   author={Larsen, B.},


   school={University of New Hampshire}


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Graphics processors are significantly faster than traditional processors, particularly for numerical code, and in recent years have become flexible enough to permit general-purpose use, rather than just graphics use. NVIDIA’s CUDA makes general-purpose graphics processor computing feasible, but it still requires significant programmer effort. My thesis is that array programming can be an effective way to program graphics processors, and that a restricted, functionally pure array language coupled with simple optimizations can have performance competitive with handwritten GPU programs. I support this thesis through the research language Barracuda, an array language embedded within Haskell that generates optimized CUDA code.
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