Highly Scalable Algorithms for the Sparse Grid Combination Technique

Abstract

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… (More)
DOI: 10.1109/IPDPSW.2015.76

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@article{Strazdins2015HighlySA, title={Highly Scalable Algorithms for the Sparse Grid Combination Technique}, author={Peter E. Strazdins and Md. Mohsin Ali and Brendan Harding}, journal={2015 IEEE International Parallel and Distributed Processing Symposium Workshop}, year={2015}, pages={941-950} }