Abstract. We present a novel hardware implementation of the double affine Smith-Waterman (DASW) algorithm, which uses dynamic programming to compare and align genomic sequences such as DNA and proteins. We implement DASW on a commodity graphics card, taking advantage of the general purpose programmability of the graphics processing unit to leverage its cheap parallel processing power. The results demonstrate that our system's performance is competitive with current optimized software packages.
In 2006, Liu et al. REF proposed the hardware implementation of the double affine Smith-Waterman (DASW) algorithm on a graphics card by using graphic API (OpenGL + GLSL).
GPU Accelerated Smith-Waterman
International Conference on Computational Science
Computer Science