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Computational Science and Engineering (CSE) Applications

Several significant engineering simulation applications use Charm++. We survey some of these applications below.


Profesor P. Geubelle and S. Breitenfeld of the Computational Solid Mechanics Group have developed CrackProp, an explicit Finite Element method simulation of viscoelastic and plasto-elastic mechanics. The simulation tracks conventional volumentric elements, coupled by flat "cohesive" interface elements using the Charm++ Finite Element Framework.


Dendritic growth

Professor J. Dantzig and Jun-Ho Jeong of the Solidification Processing Lab have parallelized their dendritic growth metal solidification application using the Charm++ Finite Element Framework. This adaptive mesh, implicit solver fluid dynamics application is quite different from the explicit structures codes normally used.

The framework handles the changes to the adaptive mesh by re-assembling the parallel mesh, repartitioning, and redistributing the mesh pieces. Since the mesh changes only rarely, this does not significantly impact the speed of the simulation. The implicit solvers are implemented using the conjugate gradient method, which solves a global matrix using local operations.
 

Software

Read about the Charm++ Finite Element Framework.

Read about the Charm++ Multiblock Framework.

People
Papers
  • 00-04    Eric deSturler, Jay Hoeflinger, L. V. Kale and Milind Bhandarkar,  A New Approach to Software Integration Frameworks for Multi-physics Simulation Codes,  In R. Boisvert and P. Tang (Eds), The Architecture of Scientific Software, IFIP TC2/WG2.5 Working Conference on the Architecture of Scientific Software, Ottawa, Canada, Kluwer Academic Publishers, pp. 87-104, October 2000.
  • 00-01    Milind A. Bhandarkar and L. V. Kale,  A Parallel Framework for Explicit FEM,  Proceedings of the International Conference on High Performance Computing (HiPC 2000), Lecture Notes in Computer Science, Vol 1970, Eds: M. Valero and V. K. Prasanna and S. Vajpeyam, Springer Verlag, December 2000, pp. 385-395.
  • 98-09    L. V. Kale,  Programming Languages for CSE: the state of the art,  IEEE Computational Science and Engineering
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