The SCIRun computational steering software system
Modern software tools for scientific computing
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
The grid
Immersive virtual reality for visualizing flow through an artery
Proceedings of the conference on Visualization '00
A Resource Management Architecture for Metacomputing Systems
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Uintah: A Massively Parallel Problem Solving Environment
HPDC '00 Proceedings of the 9th IEEE International Symposium on High Performance Distributed Computing
GridMapper: A Tool for Visualizing the Behavior of Large-Scale Distributed Systems
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
MPICH-G2: a Grid-enabled implementation of the Message Passing Interface
Journal of Parallel and Distributed Computing - Special issue on computational grids
Prototyping the Workspaces of the Future
IEEE Internet Computing
High-resolution remote rendering of large datasets in a collaborative environment
Future Generation Computer Systems - iGrid 2002
Particle Flurries: Synoptic 3D Pulsatile Flow Visualization
IEEE Computer Graphics and Applications
Teraflows over Gigabit WANs with UDT
Future Generation Computer Systems - Special issue: High-speed networks and services for data-intensive grids: The DataTAG project
Modeling resource-coupled computations
Proceedings of the 2009 Workshop on Ultrascale Visualization
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Large-scale simulation codes typically execute for extended periods of time and often on distributed computational resources. Because these simulations can run for hours, or even days, scientists like to get feedback about the state of the computation and the validity of its results as it runs. It is also important that these capabilities be made available with little impact on the performance and stability of the simulation. Visualizing and exploring data in the early stages of the simulation can help scientists identify problems early, potentially avoiding a situation where a simulation runs for several days, only to discover that an error with an input parameter caused both time and resources to be wasted. We describe an application that aids in the monitoring and analysis of a simulation of the human arterial tree. The application provides researchers with high-level feedback about the state of the ongoing simulation and enables them to investigate particular areas of interest in greater detail. The application also offers monitoring information about the amount of data produced and data transfer performance among the various components of the application.