Randall Bramley

Publications (3)0 Total impact

• Source

  Available from: scl.ameslab.gov

  Chapter: A New Approach: Component-Based Multi-physics Coupling through CCA-LISI

  Fang Liu, Masha Sosonkina, Randall Bramley
  [show abstract] [hide abstract]
  ABSTRACT: A new problem in scientific computing is the merging of existing simulation models to create new, higher fidelity combined models. This has been a driving force in climate modeling for nearly a decade now, and fusion energy, space weather modeling are starting to integrate different sub-physics into a single model. Through component-based software engineering, an interface supporting this coupling process provides a way to invoke the sub-model through the common interface which the top model uses, then a coupled model turns into a higher level model. In addition to allowing applications to switch among linear solvers, a linear solver interface is also needed for the model coupling. A linear solver interface helps in creating solvers for the integrated multi-physics simulation that combines separate codes, and can use each code’s native and specialized solver for the sub-problem corresponding to each physics sub-model. This paper presents a new approach on coupling multi-physics codes in terms of coupled solver, and shows the successful proof for coupled simulation through the implicit solve. KeywordsParallel model coupling-Component architecture and interface-Sparse matrix computation
  04/2010: pages 503-518;
• Source

  Available from: cca-forum.org

  Conference Proceeding: A HPC sparse solver interface for scalable multilevel methods.

  Fang Liu, Masha Sosonkina, Randall Bramley
  Proceedings of the 2009 Spring Simulation Multiconference, SpringSim 2009, San Diego, California, USA, March 22-27, 2009; 01/2009
• Source

  Available from: ameslab.gov

  Article: Usability levels for sparse linear algebra components.

  Masha Sosonkina, Fang Liu, Randall Bramley
  Concurrency and Computation: Practice and Experience. 01/2008; 20:1439-1454.