In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms
| Autor: | Bauer, Andrew C., Abbasi, Hasan, Ahrens, James, Childs, Hank, Geveci, Berk, Klasky, Scott, Moreland, Kenneth D., O Leary, Patrick, Vishwanath, Venkatram, Brad Whitlock, Bethel, E. Wes |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: | |
| Zdroj: | Bauer, AC; Abbasi, H; Ahrens, J; Childs, H; Geveci, B; Klasky, S; et al.(2016). In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms. Computer Graphics Forum, 35(3), 577-597. doi: 10.1111/cgf.12930. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/3xd2q8ws DOE / OSTI Computer Graphics Forum, vol 35, iss 3 |
| Popis: | © 2016 The Author(s) Computer Graphics Forum © 2016 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. 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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