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A research component is being developed to meet both short-term
and long-term needs of SciDAC science applications.
The Institute for Ultra-Scale Visualization team will develop and
evaluate parallel visualization strategies on diverse platforms
including general-purpose clusters, dedicated visualization clusters,
and especially general-purpose massively parallel supercomputers.
This research component will complement rather than duplicate
other visualization CET efforts. The outreach and education
component of the Institute will allow us to set up venues for the
important communication and collaboration with other visualization
CET efforts as well as the application scientists who will be the
users of the deployed technology. Our team has expertise covering
the full spectrum of parallel visualization technology, and we have
identified the following five critical technology focus areas:
Parallel rendering framework and API
Parallel I/O
Parallel visualization algorithms
GPU abstraction and interfaces
Parallel visualization tools
A tightly coordinated effort on these research topics will lead to
the deployment of scalable, usable parallel visualization systems at
DOE Leadership Computing Facility (LCF) and Flagship Computing
Facility (FCF), and thus a viable solution to petascale
visualization. We will also enable ultra-scale visualization on
scientists' desktop by utilizing the high-performance computing
resources provided by LCF and FCF over network.
In addition to parallel visualization, the following research areas are also under investigation:
In-Situ Visualization
Time-varying multivaraite data visualization
Uncertainty visualization
Visualization interfaces
Feature extraction and tracking
Vector field visualization
AMR data visualization
Distance and Collaborative visualization
Comparative visualization
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