Hardware Acceleration of Bioinformatics Sequence Alignment Applications,

GPU-Accelerated Protein Sequence Alignment

Acceleration of Bioinformatics Sequence Alignment - A Hardware Perspective

An Overview of Hardware-based Acceleration of Biological Sequence Alignment

DOPA: GPU-based protein alignment using database and memory access optimizations

High performance and resource efficient biological sequence alignment

Power consumption evaluation for biological sequence alignment

Performance and bandwidth optimization for biological sequence alignment

An efficient and high performance linear recursive variable expansion implementation of the Smith-Waterman algorithm

Performance comparison between linear RVE and linear systolic array implementations of the Smith-Waterman algorithm

A systolic architecture for the Smith-Waterman algorithm with high performance cell design

Hardware implementation of the Smith-Waterman algorithm using recursive variable expansion

Accurate profiling and acceleration evaluation of the Smith-Waterman algorithm using the Molen platform

A novel approach for accelerating the Smith-Waterman algorithm using recursive variable expansion

Performance improvement of the Smith-Waterman algorithm

Hardware acceleration of sequence alignment algorithms: an overview