GenASM: A Low-Power, Memory-Efficient Approximate String Matching Acceleration Framework for Genome Sequence Analysis


Date
Sep 10, 2020
Location
ARM Research Summit 2020 (Virtual)
Damla Senol Cali
Damla Senol Cali
PhD Candidate, Carnegie Mellon University

My research interests include HW/SW co-design for bioinformatics applications and computer architecture.