Getting I/O Done with Parallel HDF5 on Blue Waters
Scientific Data Specialist
It is part of The HDF Group's mission to "help people understand HDF and make effective use of its capabilities, to ensure long-term access to HDF data, and to advance the state of the art in data management". However, the proof of the pudding is in the eating. This is a retrospective on what we, The HDF Group and a few daredevils (science teams), have learned about the use of parallel HDF5 in the "real world" (Blue Waters).
Length: One hour presentation + 30 min for discussion
Target Audience: Researchers and developers, data scientists
Prerequisites: General scientific/high-performance computing background
Training and Reference Materials:
- HDF Group web-site
- Parallel I/O – Why, How, and Where to?
- Parallel HDF5
- Introduction to HDF5
- Intro to HDF5 in Python
- Managing Large Datasets with Python and HDF5
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