On the Complexity of Robust Source-to-Source Translation from CUDA to OpenCL
The use of hardware accelerators in high-performance computing has grown increasingly prevalent, particularly due to the growth of graphics processing units (GPUs) as general-purpose (GPGPU) accelerators. Much of this growth has been driven by NVIDIA's CUDA ecosystem for developing GPGPU applic...
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Virginia Tech
2015
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| Online Access: | http://hdl.handle.net/10919/52631 |