'Mesh refinement' diaporamas de présentation

New results on mesh refinement

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Data-parallel Abstractions for Irregular Applications

Data-parallel Abstractions for Irregular Applications. Keshav Pingali University of Texas, Austin. Motivation. Multicore processors are here but no one knows how to program them A few domains have succeeded in exploiting parallelism

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Efficient Finite-Difference Time-Domain Modeling of Driven Periodic Structures

Efficient Finite-Difference Time-Domain Modeling of Driven Periodic Structures. Dongying Li and Costas D. Sarris The Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto. Research supported by the Natural Sciences and Engineering Research

639 views • 45 slides

Finite volumes and finite elements for the numerical simulation of wave breaking F. Golay

Finite volumes and finite elements for the numerical simulation of wave breaking F. Golay University of Toulon, France ANAM/MNC. Plan. Numerical simulation of wave breaking Finite volume and finite element code Mesh refinement. Numerical simulation of wave breaking.

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Developing a computational infrastructure for parallel high performance FE/FVM simulations

Developing a computational infrastructure for parallel high performance FE/FVM simulations. Dr. Stan Tomov Brookhaven National Laboratory August 11, 2003. Outline. Motivation and overview Mesh generation Mesh partitioning and load balancing Code optimization

245 views • 24 slides

Mesh refinement methods in ROMS

Mesh refinement methods in ROMS. Laurent Debreu. INRIA , Grenoble, France. In collaboration with Patrick Marchesiello and Pierrick Penven ( IRD , Brest, France). Outline. Principles of mesh refinement Computational aspects Integration in the ROMS kernel Applications. Outline.

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Mesh refinement methods in ROMS

Mesh refinement methods in ROMS. Laurent Debreu. INRIA , Grenoble, France. In collaboration with Patrick Marchesiello and Pierrick Penven ( IRD , Brest, France). Outline. Principles of mesh refinement Computational aspects Integration in the ROMS kernel Applications. Outline.

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Recent developments in Numerical Methods, incl. report from the PDEs on the sphere meeting

Recent developments in Numerical Methods, incl. report from the PDEs on the sphere meeting (Part II). WGNE-Meeting 18.-22. Oct. 2010, Tokyo. Michael Baldauf (DWD). Spatial discretization methods. Finite Volume schemes advantages

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Comparison of One-Hole Die Shape

Comparison of One-Hole Die Shape. Northern Illinois Center for Accelerator and Detector Development (NICADD). Fermi National Accelerator Laboratory (FNAL). By Dr. Meung Kim & Prasad Rayasam. Department of Mechanical Engineering Northern Illinois University. Contents.

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Massive Black Hole Mergers: As Sources and Simulations

Massive Black Hole Mergers: As Sources and Simulations. John Baker Gravitational Astrophysics Laboratory NASA/GSFC. CGWP Sources & Simulations February 03, 2005. Massive Black Hole Mergers. MBHs are believed to lurk at centers of all galaxies with bulges

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Calculating Gravitational Wave Signatures from Black Hole Binary Coalescence

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Calculating Gravitational Wave Signatures from Black Hole Binary Coalescence

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Some numerical techniques developed in the Heavy-Ion Fusion program

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Terascale Simulation Tools and Technologies Center

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Mesh Control

Workshop 3. Mesh Control. Workshop 3 - Goals. Use the various DS mesh controls to enhance the mesh for the crankshaft model. Problem statement: The model consists of a Parasolid file representing a crankshaft for a small engine shown below.

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Mesh Control

Workshop 3. Mesh Control. Workshop 3 - Goals. Use the various DS mesh controls to enhance the mesh for the crankshaft model. Problem statement: The model consists of a Parasolid file representing a crankshaft for a small engine shown below.

181 views • 18 slides

Gravitational Waves Fun: Winter 2003

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Working With Imported Geometry: Principles of Model Meshing for Simulation

Working With Imported Geometry: Principles of Model Meshing for Simulation. Discuss the principles of model meshing Overview on the types of elements and the advantages and disadvantages of each Reasons for locally refining a mesh Stress resolution and its dependency on mesh density.

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TR&D 2: NUMERICAL TOOLS FOR MODELING IN CELL BIOLOGY

TR&D 2: NUMERICAL TOOLS FOR MODELING IN CELL BIOLOGY. Software development: Jim Schaff Fei Gao Frank Morgan Math & Physics: Boris Slepchenko Diana Resasco Igor Novak Yung-Sze Choi (UConn, Storrs). Highlights of the year :

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COMPARISON WITH 3D MODEL

156 views • 1 slides