In SituMethods, Infrastructures, and Applications on High Performance Computing Platforms
| Autor: | Andrew Bauer, Hank Childs, Scott Klasky, Berk Geveci, Brad Whitlock, E.W. Bethel, Patrick O'Leary, James Ahrens, Hasan Abbasi, Venkatram Vishwanath, Kenneth Moreland |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
020203 distributed computing
Computer science Distributed computing Sampling (statistics) 020207 software engineering 02 engineering and technology Supercomputer computer.software_genre Computer Graphics and Computer-Aided Design Visualization Real-time computer graphics Computer graphics Range (mathematics) 0202 electrical engineering electronic engineering information engineering Operating system General-purpose computing on graphics processing units computer |
| Zdroj: | Computer Graphics Forum. 35:577-597 |
| ISSN: | 0167-7055 |
| Popis: | The considerable interest in the high performance computing (HPC) community regarding analyzing and visualization data without first writing to disk, i.e., in situ processing, is due to several factors. First is an I/O cost savings, where data is analyzed/visualized while being generated, without first storing to a filesystem. Second is the potential for increased accuracy, where fine temporal sampling of transient analysis might expose some complex behavior missed in coarse temporal sampling. Third is the ability to use all available resources, CPU's and accelerators, in the computation of analysis products. This STAR paper brings together researchers, developers and practitioners using in situ methods in extreme-scale HPC with the goal to present existing methods, infrastructures, and a range of computational science and engineering applications using in situ analysis and visualization. |
| Databáze: | OpenAIRE |
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