Avinash Kumar Maurya
Postdoctoral Appointee
Biography
Avinash Maurya received his Ph.D. in computer science from the Rochester Institute of Technology in 2024. His research specializes in optimizing large-scale data management across heterogeneous memory tiers and accelerating I/O performance for both classical HPC and emerging AI applications. Leveraging advanced asynchronous data movement and memory management strategies, his work enables efficient hybrid CPU-GPU computations, and novel loading, storing, caching, prefetching, and lazy flushing for GPU-resident distributed data structures-- ensuring consistent, high-frequency access to large data volumes under concurrency. Before joining Argonne as a postdoctoral appointee, he interned with the Mathematics and Computer Science Division, contributing to the ECP’s VELOC and DataStates projects. His work has been published in premier HPC conferences, including HPDC, SC, IPDPS, Middleware, and HiPC. His contributions have earned Best Paper awards at HPDC’24 and HiPC’22, as well as a Best Poster award at HPDC’23. He strives to accelerate the performance of data-intensive HPC and AI workloads through scalable data and memory management techniques.
- High-performance computing
- Large-volume high-frequency data storage and access
- Checkpoint Restore
- I/O acceleration
- Cloud computing