In this paper, we evaluate Titanium’s usability as a high-level parallel programming language through a case study, where we implement a subset of Chombo’s functionality in Titanium. Chombo is a software package applying the Adaptive Mesh Refinement methodology to numerical Partial Differential

. The basis for our method is the structured adaptive mesh refinement (AMR) algorithm of Berger & Collela (1989), which we have extended to cosmological hydro + N-body simulations. The resulting multiscale hybrid method is a powerful alternative to particle-based methods in current use. The choices we

Abstract: An adaptive mesh refinement procedure for wrinkling prediction analyses is presented. First the critical values are determined using Hutchinson’s bifurcation functional. A wrinkling risk factor is then defined and used to determined areas of potential wrinkling risk. Finally, a mesh

◮ Finite volume schemes for hyperbolic problems ◮ Discussion of mesh adaptation approaches 2. Structured AMR for hyperbolic problems ◮ Presentation of all algorithmic components ◮ Parallelization 3. Complex hyperbolic structured AMR applications ◮ Shock-induced combustion ◮ Fluid

An approach to utilizing adaptive mesh refinement algorithms for storm surge modeling is proposed. Currently numerical models exist that can resolve the details of coastal regions but are often too costly to be run in an ensemble forecasting framework without significant computing resources

Analysis of phenomena that simultaneously occur on quite different spatial and temporal scales require adaptive, hierarchical schemes to reduce computational and storage demands. For data represented as grid functions, the key are adaptive, hierarchical, time-dependent grids that resolve spatio

Techniques that have become common in aerodynamics codes have recently begun to be implemented in space-physic codes, which solve the governing equations for acompressible plasma. These techniques include high-resolution upwind schemes, block-based solution-adaptive grids and domain decomposition

t.h i g h l i g h t s • Asynchronous execution between CPU and GPU is improved. • Redundant computations found in the default scheme are eliminated. • The order of computations is changed to get the high priority result first. • Visualization of the high priority data is overlapped with the computation of the remaining portions. a r t i c l e i n f o Article history:

A fast tree-based method for estimating column densities

•  Richly featured visualization and analysis tool for large data sets •  Built for five use cases: