Scalable ParaView for Extreme Scale Visualization

Award Information
Agency:
National Aeronautics and Space Administration
Amount:
$99,693.00
Program:
SBIR
Contract:
NNX11CF14P
Solitcitation Year:
2010
Solicitation Number:
N/A
Branch:
N/A
Award Year:
2011
Phase:
Phase I
Agency Tracking Number:
104981
Solicitation Topic Code:
S6.04
Small Business Information
Kitware, Inc.
28 Corporate Drive, Clifton Park, NY, -
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
010926207
Principal Investigator
 Utkarsh Ayachit
 Principal Investigator
 (518) 371-3971
 utkarsh.ayachit@kitware.com
Business Contact
 William Schroeder
Title: Business Official
Phone: (518) 371-3971
Email: will.schroeder@kitware.com
Research Institution
 Stub
Abstract
Petscale computing is leading to significant breakthroughs in a number of fields and is revolutionizing the way science is conducted. Data is not knowledge, however, and the challenge has been how to analyze and gain insight from the massive quantities of data that are generated. In order to address the peta-scale visualization challenges, we propose to develop a scientific visualization software that would enable real-time visualization capability of extremely large data sets. We plan to accomplish this by extending the ParaView visualization architecture to extreme scales. ParaView is an open source software installed on all HPC sites including NASA's Pleiades and has a large user base in diverse areas of science and engineering. Our proposed solution will significantly enhance the scientific return from NASA HPC investments by providing the next generation of open source data analysis and visualization tools for very large datasets. To test our solution on real world data with complex pipeline, we have partnered with SciberQuest, who have recently performed the largest kinetic simulations of magnetosphere using 25 K cores on Pleiades and 100 K cores on Kraken. Given that IO is the main bottleneck for scientific visualization at large scales, we propose to work closely with Pleiades's systems team and provide efficient prepackaged general purpose I/O component for ParaView for structured and unstructured data across a spectrum of scales and access patterns with focus on Lustre file system used by Pleiades.

* information listed above is at the time of submission.

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