Abstract
We present an overview of a software system, Bellerophon, built to support a production-level HPC application called CHIMERA, which simulates core-collapse supernova events at the petascale. Developed over the last four years, Bellerophon enables CHIMERA's geographically dispersed team of collaborators to perform data analysis in near real-time. Its n-tier architecture provides an encapsulated, end-to-end software solution that enables the CHIMERA team to quickly and easily access highly customizable animated and static views of results from anywhere in the world via a webdeliverable, cross-platform desktop application. In addition, Bellerophon addresses software engineering tasks for the CHIMERA team by providing an automated mechanism for performing regression testing on a variety of supercomputing platforms. Elements of the team's workflow management needs are met with software tools that dynamically generate code repository statistics, access important online resources, and monitor the current status of several supercomputing resources.
| Original language | English |
|---|---|
| Pages (from-to) | 1504-1514 |
| Number of pages | 11 |
| Journal | Procedia Computer Science |
| Volume | 29 |
| DOIs | |
| State | Published - 2014 |
| Event | 14th Annual International Conference on Computational Science, ICCS 2014 - Cairns, QLD, Australia Duration: Jun 10 2014 → Jun 12 2014 |
Funding
This work has been supported by the U.S. Depart ment of Energy Offices of Nuclear Physics and Advanced Scientific Computing Research as well as the National Center for Computational Sciences at Oak Ridge National Laboratory. ORNL is managed by UT-Battelle , LLC for the U.S. Department of Energy under Contract No. DE -AC05-00OR22725. This material is based upon work supported by the National Science Foundation under Gr ant numbers 0711134, 0933959, 1041709, and 1041710 and the University of Tennessee through the use of the Kr aken computing resource at the National Institute for Computational Sciences. An award of computer time was provided by the Innovative and Novel Computational Impact on Theory and Experiment (IN CITE) program. This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. De partment of Energy under Contract No. DE-AC05-00OR22725, and resources of the National Energy Res earch Scientific Computing Center, which is supported by the Office of Science of the U.S. De partment of Energy under Contract No. DE-AC02-05CH11231.
| Funders | Funder number |
|---|---|
| National Energy Res earch Scientific Computing Center | |
| U.S. De partment of Energy | DE-AC05-00OR22725 |
| National Science Foundation | |
| U.S. Department of Energy | |
| Directorate for Computer and Information Science and Engineering | 0933959, 0711134, 1041710, 1041709 |
| Office of Science | |
| Advanced Scientific Computing Research | |
| Oak Ridge National Laboratory | |
| University of Tennessee |
Keywords
- Artifact management
- Core-collapse supernovae
- Data analysis
- N-tier architecture
- Software engineering
- Usability
- Visualization
- Workflow management