Creating Simulation Capabilities
IEEE Computational Science & Engineering
The Application Visualization System: A Computational Environment for Scientific Visualization
IEEE Computer Graphics and Applications
Data Management: NetCDF: an Interface for Scientific Data Access
IEEE Computer Graphics and Applications
A data model for scientific visualization with provisions for regular and irregular grids
VIS '91 Proceedings of the 2nd conference on Visualization '91
Feature Characterization in Scientific Datasets
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
FCLib: a library for building data analysis and data discovery tools
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Buffering IO for data management in multi-physics simulations
Proceedings of the High Performance Computing Symposium
Feature-based analysis of large-scale spatio-temporal sensor data on hybrid architectures
International Journal of High Performance Computing Applications
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This paper describes the Sets and Fields (SAF) scientific data modeling system; a revolutionary approach to interoperation of high performance, scientific computing applications based upon rigorous, math-oriented data modeling principles. Previous technologies have required all applications to use the same data structures and/or meshes to represent scientific data or lead to an ever expanding set of incrementally different data structures and/or meshes. SAF addresses this problem by providing a small set of mathematical building blocks--sets, relations and fields--out of which a wide variety of scientific data can be characterized. Applications literally model their data by assembling these building blocks. A short historical perspective, a conceptual model and an overview of SAF along with preliminary results from its use in a few ASCI codes are discussed.