Beschreibung
InhaltsangabePreface. Contributing Authors. Part I: Large-Scale Systems Integration. Network-Based Scientific Computing; E.N. Houstis, et al. Future Generations of Problem-Solving Environments; J.C. Cunha. Developing an Architecture to Support the Implementation and Development of Scientific Computing Applications; D.C. Arnold, J.J. Dongarra. PETSc and Overture: Lessons Learned Developing an Interface between Components; K.R. Buschelman, et al. Component Technology for High-Performance Scientific Simulation Software; T. Epperly, et al. A New Approach to Software Integration Frameworks for Multi-physics Simulation Codes; E. de Sturler, et al. Code Coupling using Parallel CORBA Objects; C. René, et al. A Collaborative Code Development Environment for Computational Electro-magnetics; M. Shields, et al. Part II: The Architecture of Components. On the Role of Mathematical Abstractions for Scientific Computing; K. Åhlander, et al. Object-oriented Modeling of Parallel PDE Solvers; M. Thuné, et al. Broadway: A Software Architecture for Scientific Computing; S.Z. Guyer, C. Lin. Formal Methods for High-Performance Linear Algebra Libraries; J.A. Gunnels, et al. New Generalized Matrix Data Structures Lead to a Variety of High-Performance Algorithms; F.G. Gustavson. A Comprehensive DFT API for Scientific Computing; P.T.P. Tang. Using a Fortran Interface to POSIX Threads; R.J. Hanson, et al. Data Management Systems for Scientific Applications; R.W. Moore. Software Components for Application Development; A. Desitter, et al. Hierarchichal Representation and Computation of Approximate Solutions in Scientific Simulations; W.H. Enright. Software Architecture for the Investigation of Controllable Models with Complex Data Sets; D. Belyshev, V. Gurman. A Mixed-Language Programming Methodology for High Performance Java Computing; V.S. Getov. Part III: Conference Information. The Architecture of Scientific Software: the Conference. Index.
Inhaltsverzeichnis
Preface. Contributing Authors. Part I: Large-Scale Systems Integration. Network-Based Scientific Computing; E.N. Houstis, et al. Future Generations of Problem-Solving Environments; J.C. Cunha. Developing an Architecture to Support the Implementation and Development of Scientific Computing Applications; D.C. Arnold, J.J. Dongarra. PETSc and Overture: Lessons Learned Developing an Interface between Components; K.R. Buschelman, et al. Component Technology for High-Performance Scientific Simulation Software; T. Epperly, et al. A New Approach to Software Integration Frameworks for Multi-physics Simulation Codes; E. de Sturler, et al. Code Coupling using Parallel CORBA Objects; C. Rene, et al. A Collaborative Code Development Environment for Computational Electro-magnetics; M. Shields, et al. Part II: The Architecture of Components. On the Role of Mathematical Abstractions for Scientific Computing; K. Ã...hlander, et al. Object-oriented Modeling of Parallel PDE Solvers; M. Thune, et al. Broadway: A Software Architecture for Scientific Computing; S.Z. Guyer, C. Lin. Formal Methods for High-Performance Linear Algebra Libraries; J.A. Gunnels, et al. New Generalized Matrix Data Structures Lead to a Variety of High-Performance Algorithms; F.G. Gustavson. A Comprehensive DFT API for Scientific Computing; P.T.P. Tang. Using a Fortran Interface to POSIX Threads; R.J. Hanson, et al. Data Management Systems for Scientific Applications; R.W. Moore. Software Components for Application Development; A. Desitter, et al. Hierarchichal Representation and Computation of Approximate Solutions in Scientific Simulations; W.H. Enright. Software Architecture for the Investigation of Controllable Models with Complex Data Sets; D. Belyshev, V. Gurman. A Mixed-Language Programming Methodology for High Performance Java Computing; V.S. Getov. Part III: Conference Information. The Architecture of Scientific Software: the Conference. Index.
