Particle-based simulations running on large highperformance 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.
Published in:
Cluster Computing Workshops and Posters (CLUSTER WORKSHOPS), 2010 IEEE International Conference on
Date of Conference: 20-24 Sept. 2010