Computer simulation of liquids
Computer simulation of liquids
Computer as Thinker/Doer: Problem-Solving Environments for Computational Science
IEEE Computational Science & Engineering
Fast parallel algorithms for short-range molecular dynamics
Journal of Computational Physics
Workshop on problem-solving environments: findings and recommendations
ACM Computing Surveys (CSUR)
MultiMATLAB: integrating MATLAB with high-performance parallel computing
SC '97 Proceedings of the 1997 ACM/IEEE conference on Supercomputing
A Parallel Cellular Tool for Interactive Modeling and Simulation
IEEE Computational Science & Engineering
From Scientific Software Libraries to Problem-Solving Environments
IEEE Computational Science & Engineering
IEEE Software
| Hi-index | 0.00 |
The architecture of a component based environment for constructing scientific applications - generally referred to as a Problem Solving Environment (PSE), is described. Each component is a self-contained program, and may be a sequential code developed in C, Fortran or Java, or may contain internal parallelism using MPI or PVM libraries. A user visually constructs an application by combining components from a local or remote repository as a data flow graph. Components are self-documenting, with their interfaces defined in XML, which enables a user to search for components suitable to a particular application, enables a component to be configured when instantiated, enables each component to register with an event listener and facilitates the sharing of components between repositories. The data flow graph is also encoded in XML, and sent to a resource manager for executing the application on a workstation cluster, or a heterogeneous environment made of workstations and high performance parallel machines. Components in the PSE can also wrap legacy codes. We also describe the architecture and implementation of a molecular dynamics application based on the Lennard-Jones code [18], containing MPI calls, executed on a cluster of workstations, and based on our generic component model. A user can submit simulation data to the application remotely using a Java based user interface. Users need not download any softwares for the simulation and do not need to know the exact implementation.