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Numerical accuracy differences in CPU and GPGPU codes
Author(s) -
Devon Yablonski
Publication year - 2011
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17760/d20001067
Subject(s) - computer science , cuda , floating point , parallel computing , general purpose computing on graphics processing units , single precision floating point format , debugging , computation , double precision floating point format , code (set theory) , central processing unit , computational science , point (geometry) , supercomputer , bottleneck , speedup , graphics , computer hardware , algorithm , computer graphics (images) , embedded system , operating system , geometry , mathematics , set (abstract data type) , programming language

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