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The key strength of the application specific dynamical systems (ASDS) approach lies in the fact that all variables are updated in parallel.
To avoid any memory interference, the nodal values of neighbouring subdomains are updated in parallel in one direction at a time.
The dual variables λ are updated in parallel as follows: λ m ( t + 1 ) = λ m ( t ) + α ( t ) RS ¯ m − ∑ n = 1 N c m n ( t ) RS m n ( t ) + (11).
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.
After that, visible units are updated in parallel to get a "reconstruction" by Eq. (7), as illustrated in Figure 2(b), and the hidden units are updated again [44].
In the previous algorithm the powers and beamformers are updated in parallel, meaning that the power control algorithm does not wait for the convergence of the receive beamformers and vice versa.
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On each multigrid level, we employ a block-Jacobi smoother, which maintains algorithmic scalability as all elements can be updated 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].
Thus, all θ ' s can be updated in parallel by delivering subsets, say q k, of the elements in θ to the K CPU cores.
[X]uniqMAP is based on EnsEMBL and is updated in parallel with EnsEMBL to reflect changes in genome assemblies or gene builds.
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