IOWARP AT SC26
NOV 15–20 · CHICAGO
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IOWARP / RESEARCH RECORD

Systems science for scientific AI.

For researchers and reviewers: the systems research behind IOWarp, from memory and HPC I/O to context and scientific AI agents. The record includes papers from the IOWarp team, related research, and earlier Gnosis Research Center work the project builds on.

Record
Papers and posters, 2022–2026
Index
Browse the publication index
Feed
RSS feed of publications
Open questions
Research directions
At SC26
Workshop presentations, research posters, the conference paper, and the HDF5 discussion
Broader work
Gnosis Research Center publications ↗
The research question

How does scientific data become useful context?

More throughput alone is not enough. Workflows need data placement, provenance, access, and reasoning to survive changes in format, scale, and computational environment. The CLIO platform grows from that systems question.

01 / Through lines

Performance, context, and agency.

  • 01 / Performance

    Move less. Move well.

    Memory and storage blending, tiered I/O, and dataflow-aware execution help scientific workloads use the resources they have.

  • 02 / Context

    Keep the meaning.

    Data becomes more useful when metadata, structure, and computational state remain available to the next step.

  • 03 / Agency

    Make tools usable.

    Scientific agents need grounded access to datasets, clusters, instruments, and evidence they can inspect.

02 / Selected papers
03 / Publication index

The archive.

  1. 01

    Findings of the Association for Computational Linguistics: EACL 2026

    PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference 

    K. T. Chitty-Venkata, J. Ye, S. Raskar, A. Kougkas, X.-H. Sun, M. Emani, V. Vishwanath, B. Nicolae

  2. 02

    Proceedings of the 35th International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2026

    PKAS: Predictive KVCache-Aware Scheduling for Faster LLM and Transformer Inferences 

    J. Ye, A. Maurya, K. T. Chitty-Venkata, B. Nicolae, A. Kougkas, X.-H. Sun

  3. 03

    2026 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

    Characterizing Dataflow for I/O-Aware Scheduling in HPC Workflows 

    M. Tang, L. Guo, A. Kougkas, X.-H. Sun, N. R. Tallent

  4. 04

    2026 IEEE International Conference on eScience (eScience)

    AgentStage: Exploiting LLM Thinking for Data Staging in Scientific Agents 

    I. Yildirim, X.-H. Sun, A. Kougkas

  5. 05

    2026 IEEE International Conference on eScience (eScience)

    Acropolis: A Portable, AI-Driven Semantic Search System for HPC 

    R. P. Pawar, L. Logan, J. Cernuda, X.-H. Sun, A. Kougkas

  6. 06

    International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2026)

    Trigger, Render, Reason: Multimodal LLM Agents for Science-Aware Scientific Simulation Monitoring 

    H. Xu, J. Cernuda, A. Gainaru, S. Klasky, A. Kougkas, X.-H. Sun

  7. 07

    Conference on Language Modeling (COLM 2026)

    InfiniteScienceGym: An Unbounded, Procedurally-Generated Benchmark for Scientific Analysis 

    O. Bentham, V. Srikumar

  8. 08

    ICS'25: 2025 International Conference on Supercomputing

    WisIO: Automated I/O Bottleneck Detection with Multi-Perspective Views for HPC Workflows 

    I. Yildirim, H. Devarajan, A. Kougkas, X.-H. Sun, K. Mohror

  9. 09

    2025 IEEE International Conference on eScience (eScience)

    Towards an AI-driven scientific workflow 

    S. Islam, J. Cernuda, I. Muradli, A. Kougkas, X.-H. Sun

    Poster
  10. 10

    2025 IEEE International Conference on eScience (eScience)

    Insights into GPUDirect Data Transfer through NIXL Benchmarking 

    I. Muradli, J. Ye, L. Logan, A. Kougkas, X.-H. Sun

    Poster
  11. 11

    The International Parallel Data Systems Workshop (PDSW'24), 2024

    Jarvis: Towards a Shared, User-Friendly, and Reproducible I/O Infrastructure

    J. Cernuda, L. Logan, N. Lewis, S. Byna, X.-H. Sun, A. Kougkas

  12. 12

    The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'24), 2024

    Uncover the Overhead and Resource Usage for Handling KV Cache Overflow in LLM Inference

    J. Ye, B. Nicolae, A. Kougkas, X.-H. Sun

    Poster
  13. 13

    Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis SC, 2024

    MegaMmap: Blurring the Boundary Between Memory and Storage for Data-Intensive Workloads 

    L. Logan, A. Kougkas, X.-H. Sun

  14. 14

    Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis, 2024

    DFTracer: An Analysis-Friendly Data Flow Tracer for AI-Driven Workflows 

    H. Devarajan, L. Pottier, K. Velusamy, H. Zheng, I. Yildirim, O. Kogiou, W. Yu, A. Kougkas, X.-H. Sun, J. S. Yeom, K. Mohror

  15. 15

    2024 IEEE 36th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)

    To Derive or Not to Derive: I/O Libraries Take Charge of Derived Quantities Computation 

    A. Gainaru, N. Podhorszki, L. Dulac, Q. Gong, S. Klasky, G. Eisenhauer, A. Kougkas, X.-H. Sun, J. Lofstead

  16. 16

    Proceedings of the IEEE International Conference on Cluster Computing, 2024

    DaYu: Optimizing Distributed Scientific Workflows by Decoding Dataflow Semantics and Dynamics 

    M. Tang, J. Cernuda, J. Ye, L. Guo, N. R. Tallent, A. Kougkas, X.-H. Sun

  17. 17

    Proceedings of the ACM SIGOPS Operating Systems Review, 2024

    An Evaluation of DAOS for Simulation and Deep Learning HPCWorkloads 

    L. Logan, J. Lofstead, X.-H. Sun, A. Kougkas

  18. 18

    Proceedings of the 53rd International Conference on Parallel Processing, 2024

    Viper: A High-Performance I/O Framework for Transparently Updating, Storing, and Transferring Deep Neural Network Models 

    J. Ye, J. Cernuda, N. Rajesh, K. Bateman, O. Yildiz, T. Peterka, A. Nigmetov, D. Morozov, X.-H. Sun, A. Kougkas, B. Nicolae

  19. 19

    Proceedings of the 53rd International Conference on Parallel Processing, 2024

    HStream: A hierarchical data streaming engine for high-throughput scientific applications 

    J. Cernuda, J. Ye, A. Kougkas, X.-H. Sun

  20. 20

    Proceedings of the International Parallel and Distributed Processing Symposium, 2024

    TunIO: An AI-powered Framework for Optimizing HPC I/O 

    N. Rajesh, K. Bateman, J. L. Bez, S. Byna, A. Kougkas, X.-H. Sun

  21. 21

    Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2023

    Data Flow Lifecycles for Optimizing Workflow Coordination 

    H. Lee, L. Guo, M. Tang, J. Firoz, N. Tallent, A. Kougkas, X.-H. Sun

  22. 22

    Proceedings of the SC'23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, 2023

    IOMax: Maximizing Out-of-Core I/O Analysis Performance on HPC Systems 

    I. Yildirim, H. Devarajan, A. Kougkas, X.-H. Sun, K. Mohror

  23. 23

    Proceedings of the 3rd Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems, 2023

    An Evaluation of DAOS for Simulation and Deep Learning HPC Workloads 

    L. Logan, J. Lofstead, X.-H. Sun, A. Kougkas

  24. 24

    Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2022

    LabStor: A modular and extensible platform for developing high-performance, customized I/O stacks in userspace 

    L. Logan, J. Cernuda, J. Lofstead, X.-H. Sun, A. Kougkas

  25. 25

    Proceedings of the 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing, 2022

    Stimulus: Accelerate Data Management for Scientific AI applications in HPC 

    H. Devarajan, A. Kougkas, H. Zheng, V. Vishwanath, X.-H. Sun

Showing every paper in the IOWarp record.

Next step

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open questions.

Research directions See the demonstrations