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- Slide 1
- Tools for Multi-Physics Simulation Hans Petter Langtangen Simula Research Laboratory Oslo, Norway Department of Informatics, University of Oslo
- Slide 2
- Present Simula projects History of the group Python C++ multi-physics PDE components F77 Future ideas/visions
- Slide 3
- Water waves Heat transfer Stochastic PDEs Other PDE applications Porous media flow Aero- dynamics Incompressible flow 1990s: Diffpack & applications Structural mechanics Field Grid Matrix Vector I/O Ax=b FEM FDM
- Slide 4
- Class P1 Grid* grid; Field* p; LinEqAdm* Axb; integrands (); K(); A Typical Diffpack PDE Solver Finite element grid Finite element field BiCGStab CG MG Linear equations and solvers Evaluate integrands in weak form Evaluate variable coefficient
- Slide 5
- Principal Diffpack collaborators Numerical Objects AS Univ. Oslo SINTEF Key names: Are Magnus Bruaset, Xing Cai, Hans Petter Langtangen, Aslak Tveito,
- Slide 6
- Diffpack distribution 1995 & 1997: Open source versions 1997-2003: Numerical Objects 2003-?: inuTech Free test version (size limit) Simula collaborators have free access Customers include Cornell, Stanford, LLNL, Intel, NASA, Shell, IFP, DaimlerCrysler, Mitsubishi,... >200 customers in >30 countries
- Slide 7
- Long-term basic research is needed to develop core technology 1990 -
- Slide 8
- Some Diffpack features Linear solvers and preconditioners Grids and scalar/vector fields Biased towards FEM, support for FDM Mixed FEM, block systems Systems of PDEs Stochastic PDEs Multilevel solution Adaptive mesh (h-adaptivity) Parallel computing Problem solving environment
- Slide 9
- We have always been interested in core technologies, but these also need application outlets PDEs C++ Python FEM Ax=b OOP
- Slide 10
- Some Diffpack applications Heat and phase transfer Viscous laminar and turbulent flow Thermo-elastic-plastic deformation Electromagnetics Chemical reactors Design of quantum computers Stochastic porous media flow Electrical activity in the heart Tsunami simulation...
- Slide 11
- Simula is a new government lab for advanced ICT research Startup Jan 1, 2001 High quality research Educate graduate university students Prepare for research- based business
- Slide 12
- Research groups were selected by competition 11 Applicants Scientific Computing Software Engineering Networks and Distributed Systems
- Slide 13
- Simula emphasizes large projects Software for PDEs Cardiac Computing Inverse problems Computational geosciences
- Slide 14
- Computing the electrical activity in the heart
- Slide 15
- This is a computationally intensive problem 39 million unknowns 231 million elements 400-500 millions of ODEs 42 million unknowns 252 million elements
- Slide 16
- Computational geosciences Goal: find more oil! Compute geological evolution Multi-resolution visualization PDEs for deposition/erosion Flow, heat, deformation Software integration Advanced tools for tracking geological events
- Slide 17
- Offshore Geohazards Tsunami generation
- Slide 18
- The Storegga Slide (8150 yrsBP) Headwall 300 km Run-out 800 km Volume 5.600 km 3 Area 34.000 km 2
- Slide 19
- Slide 20
- The Mjlnir asteroide impact
- Slide 21
- Barents Sea, 142 mill. years ago
- Slide 22
- The Mjlnir event was 1000 times stronger than the Dec 26, 2004 event!
- Slide 23
- The Mjlnir tsunami consisted of a series of individual waves
- Slide 24
- The evolution of the front of the tsunami
- Slide 25
- The tragic Dec 26, 2004 tsunami How was the earthquake-induced bottom lift? Tsunami simulations yield important constraints
- Slide 26
- Welding Courtesy of University of lborg and Odense Steel Shipyard
- Slide 27
- The Silent Wings soaring simulator uses advanced terrain visualization
- Slide 28
- Slide 29
- We have made international impact on scientific software The scientific computing group is concerned with applying modern software engineering practices to scientific software. This group has achieved international distinction by calling attention to the feasibility and desirability of subjecting scientific software a niche area to this discipline. DIFFPACK (now commercialized) has wielded an enormous influence on other scientific software around the world. The publication record of this group is impressive, and includes internationally published books that go a long way to defining scientific software engineering, - Evaluation of ICT groups at Norwegian Universities (2002)
- Slide 30
- Simula code Python SWIG 3rd party Diffpack F2PY Higher-level tools encourage flexible software integration
- Slide 31
- FAMMS Python SWIG/F2PY GiNaC C++/F77 SWIG

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