Cu2cl: a Cuda-To-Opencl Translator for Multi- and Many-Core Architectures
The use of graphics processing units (GPUs) in high-performance parallel computing continues to steadily become more prevalent, often as part of a heterogeneous system. For years, CUDA has been the de facto programming environment for nearly all general-purpose GPU (GPGPU) applications. In spite of...
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Virginia Tech
2014
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Online Access: | http://hdl.handle.net/10919/34233 http://scholar.lib.vt.edu/theses/available/etd-07282011-122302/ |