Multiresolution and Adaptive Numerical Environment for Scientific Simulations (MADNESS)
May 30, 2013 — Numerical modeling softwares and solvers are key components of successful and accurate simulations for effective predictions and analysis. The results help us to improve our scientific theories as well as product and engineering designs. A representative of the most successful of the traditional software and solver environment is MATLAB with a core that is based on matrix and vector operations.
May 30, 2013 — ORNL's research focuses on the development of several transformational methodologies related to the efficient, accurate and robust computation of statistical quantities of interest.
Scalable stencil-based solver algorithms
May 01, 2013 — This research concentrates on developing highly scalable algorithms and modular software in support of numerical methods for solving partial differential equations with stencil-based discretization approaches. Stencil codes require only nearest neighbor information in order to perform a numerical update and are thereby amenable to efficient and hybrid parallelization.