  As particle physics experiments push their limits on both the energy and the
intensity frontiers, the amount and complexity of the produced data are also
expected to increase accordingly. With such large data volumes, next-generation
efforts like the HL-LHC and DUNE will rely even more on both high-throughput
(HTC) and high-performance (HPC) computing clusters. Full utilization of HPC
resources requires scalable and efficient data-handling and I/O. For the last
few decades, ROOT has been used by most HEP experiments to store data. However,
other storage technologies like HDF5 may perform better in HPC environments.
Initial explorations with HDF5 have begun using ATLAS, CMS and DUNE data; the
DUNE experiment has also adopted HDF5 for its data-acquisition system. This
paper presents the future outlook of the HEP computing and the role of HPC, and
a summary of ongoing and future works to use HDF5 as a possible data storage
technology for the HEP experiments to use in HPC environments.
