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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bennett, J.C. Abbasi, H. Bremer, P.-T. Grout, R. Gyulassy, A. Tong Jin Klasky, S. Kolla, H. Parashar, M. Pascucci, V. Pebay, P. Thompson, D. Hongfeng Yu Fan Zhang Chen, J. |
| Copyright Year | 2012 |
| Abstract | With the onset of extreme-scale computing, I/O constraints make it increasingly difficult for scientists to save a sufficient amount of raw simulation data to persistent storage. One potential solution is to change the data analysis pipeline from a post-process centric to a concurrent approach based on either in-situ or in-transit processing. In this context computations are considered in-situ if they utilize the primary compute resources, while in-transit processing refers to offloading computations to a set of secondary resources using asynchronous data transfers. In this paper we explore the design and implementation of three common analysis techniques typically performed on large-scale scientific simulations: topological analysis, descriptive statistics, and visualization. We summarize algorithmic developments, describe a resource scheduling system to coordinate the execution of various analysis workflows, and discuss our implementation using the DataSpaces and ADIOS frameworks that support efficient data movement between in-situ and in-transit computations. We demonstrate the efficiency of our lightweight, flexible framework by deploying it on the Jaguar XK6 to analyze data generated by S3D, a massively parallel turbulent combustion code. Our framework allows scientists dealing with the data deluge at extreme scale to perform analyses at increased temporal resolutions, mitigate I/O costs, and significantly improve the time to insight. |
| Starting Page | 1 |
| Ending Page | 9 |
| File Size | 2483341 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781467308052 |
| ISSN | 21674337 |
| e-ISBN | 9781467308069 |
| DOI | 10.1109/SC.2012.31 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-11-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computational modeling Analytical models Data models Data visualization Algorithm design and analysis Data transfer Processor scheduling |
| Content Type | Text |
| Resource Type | Article |
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