Rapid, Hardware Accelerated, Large Data Visualization

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$100,000.00
Award Year:
2005
Program:
STTR
Phase:
Phase I
Contract:
W911NF-05-C-0097
Award Id:
74146
Agency Tracking Number:
A054-002-0395
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
28 Corporate Drive, Suite 204, Clifton Park, NY, 12065
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
010926207
Principal Investigator:
Andrej Cedilnik
Senior Software Engineer
(518) 371-3971
andy.cedilnik@kitware.com
Business Contact:
William Schroeder
President
(518) 371-3971
will.schroeder@kitware.com
Research Institution:
UNIV. OF MARYLAND
Amitabh Varshney
UMIACS, 2119 A. V. Williams Building
College Park, MD, 20742
(301) 405-6761
Nonprofit college or university
Abstract
Scientists and engineers use computer simulation to model the behavior of physical phenomena. These simulation techniques often produce prodigious amounts of output data. In order to view results, interactive visualization is used since it provides the ability to visually inspect data and interactively query particular values. However, the size of data is becoming large enough to challenge the ability of current visualization systems to produce results at interactive rates, greatly reducing the effectiveness of the visualization process. We propose to increase the performance of visualization by developing a computational framework that leverages a relatively untapped part of most computer systems: the graphics hardware (GPU). We will use GPU processing in a parallel computing environment to accelerate the rendering and processing of results data. In Phase I we will demonstrate this framework by integrating the technology into the open-source VTK/ParaView parallel visualization systems, and deploying the software on a supercomputing cluster.

* information listed above is at the time of submission.

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