Numerical accuracy differences in CPU and GPGPU codes
This thesis presents an analysis of numerical accuracy issues that are found in many scientific GPU applications due to floating-point computation. Two widely held myths about floating-point on GPUs are that the CPU's answer is more precise than the GPU version and that computations on the GPU...
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| Online Access: | http://hdl.handle.net/2047/d20001067 |