Acceleration of Bioinformatics Workloads Through Hardware-Algorithm Co-Design and Processing-in-Memory Technologies

Acceleration of Bioinformatics Workloads Through Hardware-Algorithm Co-Design and Processing-in-Memory Technologies

Explore the acceleration of bioinformatics workloads through hardware-algorithm co-design and processing-in-memory technologies in this 31-minute conference talk by Can Alkan at the Computational Genomics Summer Institute (CGSI) 2024. Delve into cutting-edge research on improving genome analysis efficiency, including GPU-accelerated pre-alignment filtering in short read mapping and universal hardware accelerators for genomic sequence-to-graph and sequence-to-sequence mapping. Gain insights from related papers discussing algorithm-architecture co-design and innovative approaches to enhancing computational performance in genomics research.