I Large-Scale Systems Integration. - Network-Based Scientific Computing. - Future Generations of ProblemSolving Environments. - Developing an Architecture to Support the Implementation and Development of Scientific Computing Applications. - PETSc and Overture: Lessons Learned Developing an Interface between Components. - Component Technology for High-Performance Scientific Simulation Software. - A New Approach to Software Integration Frameworks for Multi-physics Simulation Codes. - Code Coupling using Parallel CORBA Objects. - A Collaborative Code Development Environment for Computational Electro-magnetics. - II The Architecture of Components. - On the Role of Mathematical Abstractions for Scientific Computing. - Object-oriented Modeling of Parallel PDE Solvers. - Broadway: A Software Architecture for Scientific Computing. - Formal Methods for High-Performance Linear Algebra Libraries. - New Generalized Matrix Data Structures Lead to a Variety of High-Performance Algorithms. - A Comprehensive DFT API for Scientific Computing. - Using A Fortran Interface to POSIX Threads. - Data Management Systems for Scientific Applications. - Software Components for Application Development. - Hierarchichal Representation and Computation of Approximate Solutions in Scientific Simulations. - Software Architecture for the Investigation of Controllable Models with Complex Data Sets. - A Mixed-Language Programming Methodology for High Performance Java Computing. - III Conference Information. - The Architecture of Scientific Software: the Conference. Language: English