Presenter

Daniel Nichols is a fifth-year PhD student working with the Parallel Software and Systems Group at the University of Maryland and advised by Professor Abhinav Bhatele. His research interests lie at the intersection of high-performance computing and machine learning, where he focuses on applying machine learning to computer systems problems that arise in supercomputing. His work enables more efficient use of supercomputers through intelligent job scheduling and resource placement, large language model-guided performance optimizations and machine learning driven performance modeling.