Strazdins, Peter E.; Ali, Md Mohsin; 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. 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. We present two new parallel algorithms for the...[Show more]
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