In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms

Abstract
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.
Description

        
@article{
10.1111:cgf.12930
, journal = {Computer Graphics Forum}, title = {{
In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms
}}, author = {
Bauer, Andrew C.
 and
Abbasi, Hasan
 and
Bethel, E. W.
 and
Ahrens, James
 and
Childs, Hank
 and
Geveci, Berk
 and
Klasky, Scott
 and
Moreland, Kenneth
 and
O'Leary, Patrick
 and
Vishwanath, Venkatram
 and
Whitlock, Brad
}, year = {
2016
}, publisher = {
The Eurographics Association and John Wiley & Sons Ltd.
}, ISSN = {
1467-8659
}, DOI = {
10.1111/cgf.12930
} }
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