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SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Parallel spectral element methods for viscous flow
Parallel supercomputing: methods, algorithms and applications
The Application Visualization System: A Computational Environment for Scientific Visualization
IEEE Computer Graphics and Applications
FAST: a multi-processed environment for visualization of computational fluid dynamics
VIS '90 Proceedings of the 1st conference on Visualization '90
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VIS '91 Proceedings of the 2nd conference on Visualization '91
Massively parallel isosurface extraction
VIS '92 Proceedings of the 3rd conference on Visualization '92
SuperGlue: a programming environment for scientific visualization
VIS '92 Proceedings of the 3rd conference on Visualization '92
A scalable high-performance environment for fluid flow analysis on unstructured grids
Proceedings of the 1994 ACM/IEEE conference on Supercomputing
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Cortex has been designed for interactive analysis and display of simulation data generated by CFD applications based on unstructured-grid solvers. Unlike post-processing visualization environments, Cortex is designed to work in co-processing mode with the CFD application. This significantly reduces data storage and data movement requirements for visualization and also allows users to interactively steer the application. Further, Cortex supports high-performance by running on massively parallel computers and workstation clusters.An important goal for Cortex is to provide visualization to a variety of solvers which differ in their solution methodologies and supported flow models. Coupled with the co-processing requirement, this has required the development of a well defined programming interface to the CFD solver that lets the the visualization system communicate efficiently with the solver, and requires minimal programming effort for porting to new solvers. Further, the requirement for targeting multiple solvers and application niches demands that the visualization system be rapidly and easily modifiable. Such flexibility is attained in Cortex by using the high-level, interpreted language Scheme for implementing user-interfaces and high-level visualization functions. By making the Scheme interpreter available from the Cortex text interface, the user can also customize and extend the visualization system.