FPGA-Based Acceleration of the Smith-Waterman Algorithm for DNA Sequence Alignment

Type of work:

Master thesis

Description:
 

This master’s thesis aims to develop an FPGA-based accelerator for the Smith-Waterman algorithm used in DNA sequence alignment. The work focuses on designing a dedicated hardware architecture that exploits parallelism and pipelining to overcome the high computational complexity of Smith-Waterman. The objective is to achieve higher performance and energy efficiency compared to CPU-based implementations, enabling real-time genomic analysis.

Supervisor:

M. H. Sadi,  C. Weis

Student:

Sultana Zahir

Year:

2025