Grid-Based Problem Solving Environments

Workflow Tools.- Programming Paradigms for Scientific Problem Solving Environments.- Why Performance Models Matter for Grid Computing.- Automation of Network-Based Scientific Workflows.- Application Experience.- Virtual Manufacturing A Vision for Virtual Paint Operations.- Service-oriented Computation in Magnetic Fusion Research.- Lessons Learned from the GECEM Project.- Infrastructure: Services.- Open Grid Services Architecture.- Middleware for Dynamic Adaptation of Component Applications.- A Virtual Organisation deployed on a Service Orientated Architecture for Distributed Data Mining applications.- Infrastructure: Numerical Software.- THCORE: A Parallel Computation Services Model and Runtime System.- PythonCLServiceTool: A Utility for Wrapping Command-Line Applications for The Grid.- GridSolve: The Evolution of A Network Enabled Solver.- A Test Harness TH for Numerical Applications and Libraries.- Event Driven Applications.- Dynamic Data-Driven Application Systems for Empty Houses, Contaminat Tracking, and Wildland Fireline Prediction.- Designing a Dynamic Data Driven Application System for Coastal and Environmental Modeling.- SPRUCE: A System for Supporting Urgent High-Performance Computing.- Data Management in Dynamic Environment-driven Computational Science.- Applications I.- Efficient Algorithm to Compute PDEs on the Grid.- On the Use of Services to Support Numerical Weather Prediction.- Mathematical Service Discovery.- Applications II.- A Problem Solving Environment based on Grid Services: NAREGI-PSE.- Grid Enabling of Nano-Science Applications in NAREGI.- Grid Architecture for Scientitic Communities.- Scientific Software Frameworks and Grid Computing.- Grid-based Imaging.- Monitoring and Migration of a PETSc-based Parallel Application for Medical Imaging in a Grid computing PSE.- Grid-based Image Registration.- Conference Summary; Strategy for Future Activities.- Observations on WoCo9.- Future Directions for Numerical Software Research - Comments during