Description: I Large-Scale Systems Integration.- Network-Based Scientific Computing.- Future Generations of Problem--Solving 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.

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