CoSim: A Simulator for Co-Scheduling of Batch and On-Demand Jobs in HPC Datacenters. - Avinash Maurya; Bogdan Nicolae; Ishan Guliani; M. Mustafa Rafique (DS-RT, 2020)

Towards Efficient I/O Scheduling for Collaborative Multi-Level Checkpointing. - Avinash Maurya; Bogdan Nicolae; M. Mustafa Rafique; Thierry Tonellot; Franck Cappello (MASCOTS, 2021)

Towards Data Gravity and Compliance Aware Distributed Deep Learning on Hybrid Clouds. - Avinash Maurya; Jaiaid Mobin; M. Mustafa Rafique (HiPCW, 2022)

Towards Efficient Cache Allocation for High-Frequency Checkpointing. - Avinash Maurya; Bogdan Nicolae; M. Mustafa Rafique; Amr M. Elsayed; Thierry Tonellot; Franck Cappello (HIPC, 2022)

Accelerating Performance of GPU-based Workloads Using CXL. - Moiz Arif; Avinash Maurya; M. Mustafa Rafique (FlexScience@HPDC, 2023)

Towards Efficient I/O Pipelines Using Accumulated Compression. - Avinash Maurya; Bogdan Nicolae; M. Mustafa Rafique; Franck Cappello (HiPC, 2023)

GPU-Enabled Asynchronous Multi-level Checkpoint Caching and Prefetching. - Avinash Maurya; M. Mustafa Rafique; Thierry Tonellot; Hussain J. AlSalem; Franck Cappello; Bogdan Nicolae (HPDC, 2023)

COLTI: Towards Concurrent and Co-located DNN Training and Inference. - Jaiaid Mobin; Avinash Maurya; M. Mustafa Rafique (HPDC, 2023)

Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers. - Avinash Maurya; Jie Ye; M. Mustafa Rafique; Franck Cappello; Bogdan Nicolae (FlexScience@HPDC, 2024)

DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models. - Avinash Maurya; Robert Underwood; M. Mustafa Rafique; Franck Cappello; Bogdan Nicolae (HPDC, 2024)

Application-Attuned Memory Management for Containerized HPC Workflows. - Moiz Arif; Avinash Maurya; M. Mustafa Rafique; Dimitrios S. Nikolopoulos; Ali Raza Butt (IPDPS, 2024)

Deep Optimizer States: Towards Scalable Training of Transformer Models using Interleaved Offloading. - Avinash Maurya; Jie Ye; M. Mustafa Rafique; Franck Cappello; Bogdan Nicolae (Middleware, 2024)

Characterizing the Behavior and Impact of KV Caching on Transformer Inferences Under Concurrency. - Jie Ye; Jaime Cernuda; Avinash Maurya; Xian-He Sun; Anthony Kougkas; Bogdan Nicolae (IPDPS, 2025)

EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants. - Franck Cappello; Sandeep Madireddy; Robert Underwood; Neil Getty; Nicholas Lee-Ping Chia; Nesar Ramachandra; Josh Nguyen; Murat Keçeli; Tanwi Mallick; Zilinghan Li; Marieme Ngom; Chenhui Zhang; et al. (CoRR, 2025)