Rethinking key-value store for parallel I/O optimization. - Yanlong Yin; Antonios Kougkas; Kun Feng; Hassan Eslami; Yin Lu; Xian-He Sun; Rajeev Thakur; William Gropp (DISCS@SC, 2014)

A Heterogeneity-Aware Region-Level Data Layout for Hybrid Parallel File Systems. - Shuibing He; Xian-He Sun; Yang Wang 006; Antonis Kougkas; Adnan Haider (ICPP, 2015)

Efficient disk-to-disk sorting: a case study in the decoupled execution paradigm. - Hassan Eslami; Anthony Kougkas; Maria Kotsifakou; Theodoros Kasampalis; Kun Feng; Yin Lu; William Gropp; Xian-He Sun; Yong Chen 001; Rajeev Thakur (DISCS@SC, 2015)

Leveraging burst buffer coordination to prevent I/O interference. - Anthony Kougkas; Matthieu Dorier; Robert Latham; Robert B. Ross; Xian-He Sun (eScience, 2016)

Towards Energy Efficient Data Management in HPC: The Open Ethernet Drive Approach. - Anthony Kougkas; Anthony Fleck; Xian-He Sun (PDSW-DISCS@SC, 2016)

Rethinking key-value store for parallel I/O optimization. - Anthony Kougkas; Hassan Eslami; Xian-He Sun; Rajeev Thakur; William Gropp (Int. J. High Perform. Comput. Appl., 2017)

Harmonia: An Interference-Aware Dynamic I/O Scheduler for Shared Non-volatile Burst Buffers. - Anthony Kougkas; Hariharan Devarajan; Xian-He Sun; Jay F. Lofstead (CLUSTER, 2018)

Vidya: Performing Code-Block I/O Characterization for Data Access Optimization. - Hariharan Devarajan; Anthony Kougkas; Prajwal Challa; Xian-He Sun (HiPC, 2018)

Hermes: a heterogeneous-aware multi-tiered distributed I/O buffering system. - Anthony Kougkas; Hariharan Devarajan; Xian-He Sun (HPDC, 2018)

IRIS: I/O Redirection via Integrated Storage. - Anthony Kougkas; Hariharan Devarajan; Xian-He Sun (ICS, 2018)

NIOBE: An Intelligent I/O Bridging Engine for Complex and Distributed Workflows. - Kun Feng; Hariharan Devarajan; Anthony Kougkas; Xian-He Sun (IEEE BigData, 2019)

An Intelligent, Adaptive, and Flexible Data Compression Framework. - Hariharan Devarajan; Anthony Kougkas; Xian-He Sun (CCGRID, 2019)

LABIOS: A Distributed Label-Based I/O System. - Anthony Kougkas; Hariharan Devarajan; Jay F. Lofstead; Xian-He Sun (HPDC, 2019)

HReplica: A Dynamic Data Replication Engine with Adaptive Compression for Multi-Tiered Storage. - Hariharan Devarajan; Anthony Kougkas; Xian-He Sun (IEEE BigData, 2020)

HCL: Distributing Parallel Data Structures in Extreme Scales. - Hariharan Devarajan; Anthony Kougkas; Keith Bateman; Xian-He Sun (CLUSTER, 2020)

HCompress: Hierarchical Data Compression for Multi-Tiered Storage Environments. - Hariharan Devarajan; Anthony Kougkas; Luke Logan; Xian-He Sun (IPDPS, 2020)

HFetch: Hierarchical Data Prefetching for Scientific Workflows in Multi-Tiered Storage Environments. - Hariharan Devarajan; Anthony Kougkas; Xian-He Sun (IPDPS, 2020)

I/O Acceleration via Multi-Tiered Data Buffering and Prefetching. - Anthony Kougkas; Hariharan Devarajan; Xian-He Sun (J. Comput. Sci. Technol., 2020)

Bridging Storage Semantics Using Data Labels and Asynchronous I/O. - Anthony Kougkas; Hariharan Devarajan; Xian-He Sun (ACM Trans. Storage, 2020)

DLIO: A Data-Centric Benchmark for Scientific Deep Learning Applications. - Hariharan Devarajan; Huihuo Zheng; Anthony Kougkas; Xian-He Sun; Venkatram Vishwanath (CCGRID, 2021)

HFlow: A Dynamic and Elastic Multi-Layered I/O Forwarder. - Jaime Cernuda Garcia; Hariharan Devarajan; Luke Logan; Keith Bateman; Neeraj Rajesh; Jie Ye; Anthony Kougkas; Xian-He Sun (CLUSTER, 2021)

pMEMCPY: a simple, lightweight, and portable I/O library for storing data in persistent memory. - Luke Logan; Jay F. Lofstead; Scott Levy; Patrick M. Widener; Xian-He Sun; Anthony Kougkas (CLUSTER, 2021)

Apollo: : An ML-assisted Real-Time Storage Resource Observer. - Neeraj Rajesh; Hariharan Devarajan; Jaime Cernuda Garcia; Keith Bateman; Luke Logan; Jie Ye; Anthony Kougkas; Xian-He Sun (HPDC, 2021)

Stimulus: Accelerate Data Management for Scientific AI applications in HPC. - Hariharan Devarajan; Anthony Kougkas; Huihuo Zheng; Venkatram Vishwanath; Xian-He Sun (CCGRID, 2022)

LuxIO: Intelligent Resource Provisioning and Auto-Configuration for Storage Services. - Keith Bateman; Neeraj Rajesh; Jaime Cernuda Garcia; Luke Logan; Jie Ye; Stephen Herbein; Anthony Kougkas; Xian-He Sun (HIPC, 2022)

LabStor: A Modular and Extensible Platform for Developing High-Performance, Customized I/O Stacks in Userspace. - Luke Logan; Jaime Cernuda Garcia; Jay F. Lofstead; Xian-He Sun; Anthony Kougkas (SC, 2022)

An Evaluation of DAOS for Simulation and Deep Learning HPC Workloads. - Luke Logan; Jay F. Lofstead; Xian-He Sun; Anthony Kougkas (CHEOPS@EuroSys, 2023)

Data Flow Lifecycles for Optimizing Workflow Coordination. - Hyungro Lee; Luanzheng Guo; Meng Tang; Jesun Firoz; Nathan R. Tallent; Anthony Kougkas; Xian-He Sun (SC, 2023)

IOMax: Maximizing Out-of-Core I/O Analysis Performance on HPC Systems. - Izzet Yildirim; Hariharan Devarajan; Anthony Kougkas; Xian-He Sun; Kathryn M. Mohror (SC Workshops, 2023)

Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis. - Jaime Cernuda; Luke Logan; Ana Gainaru; Scott Klasky; Jay F. Lofstead; Anthony Kougkas; Xian-He Sun (CCGrid, 2024)

DaYu: Optimizing Distributed Scientific Workflows by Decoding Dataflow Semantics and Dynamics. - Meng Tang; Jaime Cernuda; Jie Ye; Luanzheng Guo; Nathan R. Tallent; Anthony Kougkas; Xian-He Sun (CLUSTER, 2024)

HStream: A hierarchical data streaming engine for high-throughput scientific applications. - Jaime Cernuda; Jie Ye; Anthony Kougkas; Xian-He Sun (ICPP, 2024)

Viper: A High-Performance I/O Framework for Transparently Updating, Storing, and Transferring Deep Neural Network Models. - Jie Ye; Jaime Cernuda; Neeraj Rajesh; Keith Bateman; Orcun Yildiz; Tom Peterka; Arnur Nigmetov; Dmitriy Morozov; Xian-He Sun; Anthony Kougkas; Bogdan Nicolae (ICPP, 2024)

TunIO: An AI-powered Framework for Optimizing HPC I/O. - Neeraj Rajesh; Keith Bateman; Jean Luca Bez; Suren Byna; Anthony Kougkas; Xian-He Sun (IPDPS, 2024)

To Derive or Not to Derive: I/O Libraries Take Charge of Derived Quantities Computation. - Ana Gainaru; Norbert Podhorszki; Liz Dulac; Qian Gong; Scott Klasky; Greg Eisenhauer; Antonios Kougkas; Xian-He Sun; Jay F. Lofstead (SBAC-PAD, 2024)

DFTracer: An Analysis-Friendly Data Flow Tracer for AI-Driven Workflows. - Hariharan Devarajan; Loïc Pottier; Kaushik Velusamy; Huihuo Zheng; Izzet Yildirim; Olga Kogiou; Weikuan Yu; Anthony Kougkas; Xian-He Sun; Jae-Seung Yeom; Kathryn M. Mohror (SC, 2024)

MegaMmap: Blurring the Boundary Between Memory and Storage for Data-Intensive Workloads. - Luke Logan; Anthony Kougkas; Xian-He Sun (SC, 2024)

An Evaluation of DAOS for Simulation and Deep Learning HPCWorkloads. - Luke Logan; Jay F. Lofstead; Xian-He Sun; Anthony Kougkas (ACM SIGOPS Oper. Syst. Rev., 2024)

DFTracer: An Analysis-Friendly Data Flow Tracer for AI-Driven Workflows. - Hariharan Devarajan; Loic Pottier; Kaushik Velusamy; Huihuo Zheng; Izzet Yildirim; Olga Kogiou; Weikuan Yu; Anthony Kougkas; Xian-He Sun; Jae-Seung Yeom; Kathryn M. Mohror (Zenodo, 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)

DTIO: Data Stack for AI-driven Workflows. - Keith Alex Bateman; Neeraj Rajesh; Jaime Cernuda; Luke Logan; Bogdan Nicolae; Franck Cappello; Xian-He Sun; Anthony Kougkas (SSDBM, 2025)