Compiling an Array Language to a Graphics Processor
by Larsen, Bradford, M.S., UNIVERSITY OF NEW HAMPSHIRE, 2010, 63 pages; 1489947

Abstract:

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.

 
AdviserPhilip J. Hatcher
SchoolUNIVERSITY OF NEW HAMPSHIRE
SourceMAI/ 49-04, p. , Mar 2011
Source TypeThesis
SubjectsComputer engineering; Computer science
Publication Number1489947
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