A problem solving environment for multidisciplinary coupled simulations in computational grids

Schreiber, Andreas; Metsch, Thijs; Kersken, Hans-Peter

doi:10.1016/j.future.2003.10.009

Cited by 13 publications

(4 citation statements)

References 7 publications

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“…Using of the latter was required because of the need to work with defined communication ports across firewalls. In 2002 we began with the integration of Grid [18] technology using the Globus Toolkit [19,20]. This implementation is ready for use, but has not yet been deployed in a major project.…”

Section: Underlying Technologiesmentioning

confidence: 99%

Evolution from a Scientific Application to an Applicable Product

Wagner

2007

11th European Conference on Software Maintenance and Reengineering (CSMR'07)

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Software developments in a scientific environment often serve a very special purpose and a limited number of users. When need arises to make the software usable in a more general way, the software has to be improved in terms of quality and meeting the users' needs. To apply it for a longer period, it also has to take into account changes of state-of-the-art software and technologies. This paper describes an example for such an evolution of scientific applications over the course of ten years. Developed initially as an environment for a specific numerical simulation project, the software has been applied to other simulation projects in various sectors. Keeping a relative stable software design, more functionality and features have been added. New features make use of emerging technologies and widen the application range. The development of software engineering methods and tools has been steadily evaluated and the software development environment has been adapted accordingly.11th European Conference on Software Maintenance and Reengineering (CSMR'07) 0-7695-2802-3/07 $20.00

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Section: Underlying Technologiesmentioning

confidence: 99%

Evolution from a Scientific Application to an Applicable Product

Wagner

2007

11th European Conference on Software Maintenance and Reengineering (CSMR'07)

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“…Higherlevel libraries, services, tools and applications use core services to implement more complex global functionality. To this end, a number of problem solving environments (PSE) have been developed for grid applications during this time (Yang et al [54], Prashar et al [42] and Schreiber et al [46]). These PSEs provide grid services, setting up (job submission and scheduling of computational resources), steering and monitoring of simulations, and in some cases the analysis packages as well.…”

Section: Grid Computingmentioning

confidence: 99%

GRID-enabled Solution of Groundwater Inverse Problems on the TeraGrid Network

2007

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Grid-computing environments are becoming increasingly popular for scientific computing due to the significant increase in capacity that they represent when compared to a single computational resource (e.g., a single cluster), their ubiquitous availability and advances in grid middleware components. Several such specialized grid environments are now available for users in the commercial and research sectors. One such effort for research is the TeraGrid, consisting of a collection of geographically distributed heterogeneous supercomputer resources including data storage resources. Parallel implementations for these environments are inherently multilevel and obtaining efficient mapping of work to processors can be extremely challenging. This paper extends an existing MPI application to the grid via the use of grid-enabled MPI libraries. The application uses a simulation-optimization framework involving coarse-grained parallelism in the optimizer and fine-grained parallelism in the finite-element-based simulator. Using parallelism at both these levels is essential for problems involving computationally intensive simulation steps. A hierarchical grid architecture consisting of a collection of supercomputers is ideally suited for these types of problems as a good application-toarchitecture mapping can be obtained with a proper implementation. This paper presents the performance results of our implementation on the TeraGrid network consisting of three geographically distributed supercomputers.

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“…We are using the integration system TENT [6,7] which allows one to integrate all necessary computational components and to construct workflows with these components. It allows engineers to steer and monitor running simulations interactively on the Grid and has an integrated data management systems based on XML and WebDAV.…”

Section: Integration Systemmentioning

confidence: 99%

Provenance Implementation in a Scientific Simulation Environment

Kloss

Schreiber

2006

Provenance and Annotation of Data

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Abstract. Many of today's engineering applications for simulations are lacking machanisms to trace the generation of results and the underlying processes. Especially computations conducted in distribued computing environments as Grids are lacking suitable means to keep track of used resources. Trust of engineers in results produced within distribued simulation environments is very limited without this information. This paper will demonstrate how trust and confidence in simulation results could be achived for engineering applications. It will highlight the backgrounds of the application, of provenance recording, the mapping to the application, and finally the implementation of provenance awareness for the application. Additionally it will present examples of analyzing the information stored to be of further use to the engineer.

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A problem solving environment for multidisciplinary coupled simulations in computational grids

Cited by 13 publications

References 7 publications

Evolution from a Scientific Application to an Applicable Product

Evolution from a Scientific Application to an Applicable Product

GRID-enabled Solution of Groundwater Inverse Problems on the TeraGrid Network

Provenance Implementation in a Scientific Simulation Environment

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