data abstractions

DTIO: Data Stack for AI-driven Workflows

K. Bateman, N. Rajesh, J. Cernuda, L. Logan, B. Nicolae, F. Cappello, X.-H. Sun, A. Kougkas

The 37th International Conference on Scalable Scientific Data Management (SSDBM 2025)

A scalable I/O runtime that unifies disparate I/O stacks for converged HPC, Big Data, and ML workflows.

J. Cernuda, H. Devarajan, L. Logan, K. Bateman, N. Rajesh, J. Ye, A. Kougkas, X.-H. Sun

The 2021 IEEE International Conference on Cluster Computing (CLUSTER'21), September 7-10, 2021

A dynamic and elastic multi-layered data forwarding system leveraging a real-time data movement paradigm for HPC.

A. Kougkas, H. Devarajan, K. Bateman, J. Cernuda, N. Rajesh, X.-H. Sun

The 36th International Conference on Massive Storage Systems and Technology (MSST'20), Oct. 29-30, 2020

A distributed shared multi-tiered log store using physical time to achieve scalable, parallel, high-performance log workloads.