Performance prediction across platforms is increasingly important as developers can choose
from a wide range of execution platforms. The main challenge remains to perform accurate …

The development of a parallel adaptive mesh refinement (AMR) scheme is described for
solving the governing equations for multi-phase (gas–particle) core flows in solid propellant …

In this paper, we present simple and efficient array-based mesh data structures, including a
compact representation of the half-edge data structure for surface meshes, and its …

Grids consist of both dedicated and non-dedicated clusters. For effective mapping of parallel
applications on grid resources, a grid metascheduler has to evaluate different sets of …

In this paper, we propose a novel descriptor based on symbol signatures for symbol filtering
and recognition. First of all, all symbols are assumed in vectorial forms. All the primitive-pair …

We describe and present results from GEN2, the second-generation three-dimensional solid
rocket motor simulation package developed at CSAR. The internal gas dynamics, propellant …

The development of a parallel adaptive mesh refinement (AMR) scheme is described for
solving the governing equations for turbulent multi-phase (gas-particle) core flows in solid …

The University of Illinois Center for Simulation of Advanced Rockets addresses the
computational simulation of solid propellant rockets from first principles using a highly …

A computational framework has been developed for predicting two-dimensional
axisymmetric turbulent multi-phase (gas-particle) solid propellant rocket motor core flows …

Performance prediction across platforms is increasingly important in today's diverse
computing environments. As both programs and their developers face unprecedented wide …