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Software Frameworks in a Multilingual World

Acknowledgements. At NAGAnne Trefethen Geoff MorganPatrick CraigSarah Turner. Zohair MaanyAntoine Le Hyaric Gareth Shaw European partners. Consider first the BIG picture?... Developing Applications. . . . . . Mathematical Model. approximation/discretisation/numerics. algorithms. syst

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Software Frameworks in a Multilingual World

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    1. Software Frameworks in a Multilingual World Arnaud Desitter NAG Ltd. http://www.nag.co.uk

    2. Acknowledgements At NAG Anne Trefethen Geoff Morgan Patrick Craig Sarah Turner

    3. Consider first the BIG picture…..

    4. Developing Applications

    5. Software

    6. Languages? Discipline - biology, automotive, aerospace, agriculture, mathematics Spoken - English, French, German, Spanish, ... Program - F77, C++, Java, F90, C

    7. European Projects Stable - statistical application environment. Decision - optimisation systems control. Julius - engineering simulation in multiple disciplines. Decision, STABLE and Julius all based on use of IRIS Explorer as a framework.

    13. IRIS Explorer as an infrastructure It offers: interactivity visualisation heterogeneous, distributed environment collaborative environment open environment

    14. Built-in types Parameter (single-valued double, long or string) Lattice (generalised array) Pyramid (unstructured grid with connectivity and data) Geometry (container type for Open Inventor scene graphs) User defined types For specialist applications May have any structure Constructed using ETL, a C-like data typing language

    15. STatistical Application BuiLding Environment http://www.nag.co.uk/projects/STABLE.html Project EU 22832

    17. Project Overview Stable = IRIS Explorer Visual Programming environment + Genstat Statistical Algorithms Demonstrator Applications provide design base and testing environment

    18. Genstat ... is a general-purpose statistics package developed at Rothamsted since 1968 contains a wide range of statistical algorithms has a Windows interface making these facilities easily accessible also provides powerful and flexible command-based programming facilities has been re-engineered to provide statistical algorithms for STABLE ...

    19. Genstat re-engineering ... redesign of workspace and communication separation of interpreters / algorithms / printing / saving utility programs written for generating interface binders production of statistical Dynamic Link Libraries

    20. Time Series Map

    21. Boxplot map

    22. DECISION “HPCN-Integrated Optimization Strategies for Increased Engineering Design Complexity” (Esprit 25058) Develop optimization environment based on IRIS Explorer www.nag.co.uk/projects/DECISION.html

    23. THE DECISION CONSORTIUM

    24. Optimization Platform IRIS Explorer visual programming environment Framework to link optimizers with solvers e.g. CFD Optimization modules easily substituted or linked together in IRIS Explorer ‘map’ Planned modules include: SQP (dense & sparse) Genetic Algorithms Simulated Annealing Pareto (multi-criteria)

    25. Integrating with Iris Explorer The only data structure required is the Lattice System architecture requires reverse communication algorithms.

    28. JULIUS - Aim of project

    29. JULIUS - Partners

    30. JULIUS - Project details

    31. JULIUS - Project details Evolution of PSUE within JULIUS: modularization of PSUE tools integration of tools within an open architecture based on CORBA addition of a presentation layer for visual programming integration with a database enhanced CAD, grid generation, visualization and parallel facilities

    32. JULIUS - Architecture

    33. JULIUS - Architecture Each JULIUS tool is wrapped as a CORBA object, allowing it to be invoked seamlessly over a network: CAD reader, Mesh generator, database etc Each tool is also wrapped as an IRIS Explorer module, allowing it to be included in a visual programming user interface. JULIUS data objects are wrapped as CORBA objects allowing them to be accessed easily by JULIUS tools.

    35. JULIUS - Visual programming

    37. Conclusion Importance of components visualisation numerical or symbolical computation mesh generation … “Glue” technologies distributed object technologies (CORBA, DCOM, ...) scripting languages (Perl, Python, …) frameworks such as Iris Explorer Requirements user friendliness scalable technologies (towards large scale applications) extensible (VPE)

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