SCHEDULE: NOV 10-16, 2012
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Combining In-Situ and In-Transit Processing to Enable Extreme-Scale Scientific Analysis
SESSION: Optimizing I/O For Analytics
EVENT TYPE: Papers
TIME: 11:00AM - 11:30AM
SESSION CHAIR: Dean Hildebrand
AUTHOR(S):Janine C. Bennett, Hasan Abbasi, Peer-Timo Bremer, Ray W. Grout, Attila Gyulassy, Tong Jin, Scott Klasky, Hemanth Kolla, Manish Parashar, Valerio Pascucci, Philippe Pébay, David Thompson, Hongfeng Yu, Fan Zhang, Jacqueline Chen
ROOM:355-D
ABSTRACT:
With the onset of extreme-scale computing, scientists are increasingly unable to save sufficient raw simulation data to persistent storage. Consequently, the community is shifting away from a post-process centric data analysis pipeline to a combination of analysis performed in-situ (on primary compute resources) and in-transit (on secondary resources using asynchronous data transfers). In this paper we summarize algorithmic developments for three common analysis techniques: topological analysis, descriptive statistics, and visualization. We describe a resource scheduling system that supports various analysis workflows, and discuss our use of the DataSpaces and ADIOS frameworks to transfer data between in-situ and in-transit computations. We demonstrate the efficiency of our lightweight, flexible framework on the Jaguar XK6, analyzing 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 time to insight.
Chair/Author Details:
Dean Hildebrand (Chair) - IBM Almaden Research Center
Janine C. Bennett - Sandia National Laboratories
Hasan Abbasi - Oak Ridge National Laboratory
Peer-Timo Bremer - Lawrence Livermore National Laboratory
Ray W. Grout - National Renewable Energy Laboratory
Attila Gyulassy - University of Utah
Tong Jin - Rutgers University
Scott Klasky - Oak Ridge National Laboratory
Hemanth Kolla - Sandia National Laboratories
Manish Parashar - Rutgers University
Valerio Pascucci - University of Utah
Philippe Pébay - Kitware, Inc.
David Thompson - Sandia National Laboratories
Hongfeng Yu - Sandia National Laboratories
Fan Zhang - Rutgers University
Jacqueline Chen - Sandia National Laboratories
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Combining In-Situ and In-Transit Processing to Enable Extreme-Scale Scientific Analysis
SESSION: Optimizing I/O For Analytics
EVENT TYPE:
TIME: 11:00AM - 11:30AM
SESSION CHAIR: Dean Hildebrand
AUTHOR(S):Janine C. Bennett, Hasan Abbasi, Peer-Timo Bremer, Ray W. Grout, Attila Gyulassy, Tong Jin, Scott Klasky, Hemanth Kolla, Manish Parashar, Valerio Pascucci, Philippe Pébay, David Thompson, Hongfeng Yu, Fan Zhang, Jacqueline Chen
ROOM:355-D
ABSTRACT:
With the onset of extreme-scale computing, scientists are increasingly unable to save sufficient raw simulation data to persistent storage. Consequently, the community is shifting away from a post-process centric data analysis pipeline to a combination of analysis performed in-situ (on primary compute resources) and in-transit (on secondary resources using asynchronous data transfers). In this paper we summarize algorithmic developments for three common analysis techniques: topological analysis, descriptive statistics, and visualization. We describe a resource scheduling system that supports various analysis workflows, and discuss our use of the DataSpaces and ADIOS frameworks to transfer data between in-situ and in-transit computations. We demonstrate the efficiency of our lightweight, flexible framework on the Jaguar XK6, analyzing 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 time to insight.
Chair/Author Details:
Dean Hildebrand (Chair) - IBM Almaden Research Center
Janine C. Bennett - Sandia National Laboratories
Hasan Abbasi - Oak Ridge National Laboratory
Peer-Timo Bremer - Lawrence Livermore National Laboratory
Ray W. Grout - National Renewable Energy Laboratory
Attila Gyulassy - University of Utah
Tong Jin - Rutgers University
Scott Klasky - Oak Ridge National Laboratory
Hemanth Kolla - Sandia National Laboratories
Manish Parashar - Rutgers University
Valerio Pascucci - University of Utah
Philippe Pébay - Kitware, Inc.
David Thompson - Sandia National Laboratories
Hongfeng Yu - Sandia National Laboratories
Fan Zhang - Rutgers University
Jacqueline Chen - Sandia National Laboratories
Click here to download .ics calendar file