Presenter

Avinash Maurya is a postdoctoral appointee in the Mathematics and Computer Science Division at Argonne National Laboratory and a postdoc-at-large at the University of Chicago. His research focuses on optimizing large-scale data management across heterogeneous memory tiers and accelerating I/O performance for both HPC simulations and AI applications. He develops techniques for asynchronous data movement and memory management, enabling efficient hybrid CPU–GPU computations and high-frequency access to large distributed data structures through optimized caching, prefetching, and flushing.