Particle-based simulations running on large high-performance computing systems over many time steps can generate an enormous amount of particle- and field-based data for post-processing and analysis. Achieving high-performance I/O for this data, effectively managing it on disk, and interfacing it with analysis and visualization tools can be challenging, especially for domain scientists who do not have I/O and data management expertise. We present the H5hut library, an implementation of several data models for particle-based simulations that encapsulates the complexity of HDF5 and is simple to use, yet does not compromise performance.

Developers:

• Andreas Adelmann (PSI)
• Achim Gsell (PSI)
• Mark Howison (NERSC/LBNL)
• Prabhat (NERSC/LBNL)
• Wes Bethel (NERSC/LBNL)

Previous developers:

• Benedikt Oswald (PSI)
• Cristina Siegerist (NERSC/LBNL)
• John Shalf (NERSC/LBNL)

For more information, please contact the h5part mailing list.