Institution:
This project accelerates DNA sequence alignment by improving efficiency and reducing resource use. It uses optimized algorithms that lower memory needs and speed up processing, especially for large genomic datasets. It includes implementations for CPUs, GPUs, and FPGA accelerators, all using a common programming approach, enabling the same code to run across different systems. By moving only relevant data to accelerators and reducing data transfer, it improves performance and cuts energy use, supporting more efficient and scalable genomics workflows.