HDF5 User Group Meeting 2024 Accepted Talks

The following are preliminary talks that have been accepted for the 2024 HDF5 User Group Meeting.

  • Optimizing molecular dynamics AI model using HDF5 and DYAD – Dr. Hariharan Devarajan, Lawrence Livermore National Laboratory
  • HDF5: State of the Union – Dana Robinson, The HDF Group
  • Efficient HDF5 Data Access for Exa-scale Scientific Application – Houjun Tang, Berkeley Lab
  • Potential revision to MPI-IO consistency and its impact on HDF5 – Chen Wang, Lawrence Livermore National Laboratory
  • Optimizing Workflow Performance by Elucidating Semantic Data Flow – Meng Tang, Illinois Institute of Technology
  • Enlarging Effective DRAM Capacity through Hermes – Luke Logan, Gnosis Research Center
  • Drishti VOL: The performance profiling and tracing HDF5 VOL connector – Jean Luca Bez, Lawrence Berkeley National Laboratory
  • I/O model based on HDF5 – Hua Xu, Gnosis Research Center(IIT)
  • HDF5 to drive research and new target discovery in immuno-oncology – Vinay Vyas, Arcus Biosciences
  • Rebasing For The Win! – Jay Lofstead, Sandia National Laboratories
  • HSDS Multi API – Matt Larson, The HDF Group
  • DTIO: Unifying I/O for HPC and AI – Keith Bateman, Illinois Institute of Technology
  • HDF5 Subfiling: A Scalable Approach to Exascale I/O – M. Scot Breitenfld, The HDF Group
  • Upcoming new HDF5 feature: our progress on HDF5 multi-threading and more – Jogn Mainzer, Elena Pourmal, Lifeboat, LLC
  • Off We Go! Down the Road to Multithreaded Concurrency in HDF5 – Quincey Koziol, NVIDIA
  • Distributed Affix-Based Metadata Search in Self-Describing Data Files – Wei Zhang, Ph.D, Lawrence Berkeley National Laboratory
  • Semantic Search and Natural Language Query over HDF5 – Chenxu Niu, Texas Tech University
  • Update on Cloud Optimized HDF5 Files – Dr. Aleksandar Jelenak, HDF Group
  • New datatypes in HDF5 – Jordan Henderson, The HDF Group