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This paper studies the CUDA programming challenges with using multiple GPUs inside a single machine to carry out plane-by-plane updates in parallel 3D sweeping algorithms.
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Thus node activations are effectively updated in parallel.
Next, lateral avalanching (in the y-direction) was determined for each cell and updated in parallel.
Apply the recursive recognition process including the two measurement detection and updating in parallel at each PE.
Part of PPR is based on random walks and part is based on a local update in parallel.
All top nodes in the layer can be updated in parallel, since none of the computed values affects the values of other nodes being updated.
In two spatial dimensions, lines of nodes can be updated simultaneously, and in three dimensions an entire layer of nodes can be updated in parallel [30, 31].
To avoid any memory interference, the nodal values of neighbouring subdomains are updated in parallel in one direction at a time.
The key strength of the application specific dynamical systems (ASDS) approach lies in the fact that all variables are updated in parallel.
On each multigrid level, we employ a block-Jacobi smoother, which maintains algorithmic scalability as all elements can be updated in parallel.
First, the ghost nodes belonging to subdomains with larger i values are updated in parallel, and thereafter ghost nodes in subdomains with larger j, k, and smaller i, j, k indices are updated.
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