BioCloud: Using GPU Architecture for Bioinformatics Tools: Extended Abstract

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.