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Home > The architecture of scientific software: IFIP TC2/WG2. 5 Working Conference on the Architecture of Scientific Software, October 2-4, 2000, Ottawa, Canada / > Future Generations of Problem-Solving Environments
The architecture of scientific software: IFIP TC2/WG2. 5 Working Conference on the Architecture of Scientific Software, October 2-4, 2000, Ottawa, Canada / |
Boisvert, Ronald F.; Tang, Ping Tak Peter.
Kluwer Academic Publishers,
The architecture of scientific software: IFIP TC2/WG2. 5 Working Conference on the Architecture of Scientific Software, October 2-4, 2000, Ottawa, Canada /
Future Generations of Problem-Solving Environments
Authors

Jose C. Cunha

ARI Id

1675908420853_53832447

Access

Not Available Free

Table of Contents of Book
Showing 1 to 20 of 21 entries
Chapters/HeadingsAuthor(s)PagesInfo
Network-Based Scientific Computing
Elias N. Houstis, Ann Christine Catlin and Ganesh Balakrishnan /[et al.]
Future Generations of Problem-Solving Environments
Jose C. Cunha
Developing an Architecture to Support the Implementation and Development of Scientific Computing Applications
Dorian C. Arnold and Jack J. Dongarra
PETSc and Overture: Lessons Learned Developing an Interface between Components
Kristopher R. Buschelman, William D. Gropp and Lois C. McInnes /[et al.]
Component Technology for High-Performance Scientific Simulation Software
Tom Epperly, Scott Kohn and Gary Kumfert
A New Approach to Software Integration Frameworks for Multi-physics Simulation Codes
Eric de Sturler, Jay Hoefinger and Laxmikant Kale /[et al.]
Code Coupling using Parallel CORBA Objects
Christophe Rene, Thierry Priol and Guillaume Alleon
A Collaborative Code Development Environment for Computational Electro-magnetics
Matthew Shields, Omer F. Rana and David W. Walker /[et al.]
On the Role of Mathematical Abstractions for Scientific Computing
Krister Ahlander, Magne Haveraaen and Hans Z. Munthe-Kaas
Object-oriented Modeling of Parallel PDE Solvers
Michael Thune, Krister Ahlander and Malin Ljungberg /[et al.]
Broadway: A Software Architecture for Scientific Computing
Samuel Z. Guyer and Calvin Lin
Formal Methods for High-Performance Linear Algebra Libraries
John A. Gunnels and Robert A. van de Geijn
New Generalized Matrix Data Structures Lead to a Variety of High-Performance Algorithms
Fred G. Gustavson
A Comprehensive DFT API for Scientific Computing
Ping Tak Peter Tang
Using A Fortran Interface to POSIX Threads
Richard J. Hanson, Clay P. Breshears and Henry A. Gabb
Data Management Systems for Scientific Applications
Reagan W. Moore
Software Components for Application Development
Arnaud Desitter, Antoine Le Hyaric and Geoff Morgan /[et al.]
Hierarchichal Representation and Computation of Approximate Solutions in Scientific Simulations
Wayne H. Enright
Software Architecture for the Investigation of Controllable Models with Complex Data Sets
Dmitry Belyshev and Vladimir Gurman
A Mixed-Language Programming Methodology for High Performance Java Computing
Vladimir S. Getov
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 21 entries
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