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Highly Scalable Algorithms for the Sparse Grid Combination Technique

Strazdins, Peter; Ali, Muhammad; Harding, Brendan


Many petascale and exascale scientific simulations involve the time evolution of systems modelled as Partial Differential Equations (PDEs). The sparse grid combination technique (SGCT) is a cost-effective method for solve time-evolving PDEs, especially for higher-dimensional problems. It consists of evolving PDE over a set of grids of differing resolution in each dimension, and then combining the results to approximate the solution of the PDE on a grid of high resolution in all dimensions. It...[Show more]

CollectionsANU Research Publications
Date published: 2015
Type: Conference paper
Source: A Resilient Framework for Iterative Linear Algebra Applications in X10
DOI: 10.1109/IPDPSW.2015.76


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