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- W2613171837 abstract "Bioinformatics is an emerging field that merges the two disciplines of Biology and Computer Science. This coalescence of the two disciplines has resulted in a plethora of new software tools aiding in Biological research. These tools are largely unoptimized and written on the fly without performance largely in mind. These applications are predominately single-threaded and suffer from poor performance. CUDA is a GPU Computing API that will help to resolve poor run-time performance in Bioinformatics tools. The aim of this research is to convert the currently existing bioinformatics code into GPU accelerated and multithreaded CUDA code." @default.
- W2613171837 created "2017-05-19" @default.
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- W2613171837 date "2017-04-13" @default.
- W2613171837 modified "2023-09-26" @default.
- W2613171837 title "BioCloud" @default.
- W2613171837 cites W1992851788 @default.
- W2613171837 doi "https://doi.org/10.1145/3077286.3077300" @default.
- W2613171837 hasPublicationYear "2017" @default.
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