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These algorithms can usually be implemented on parallel computing structures.
SIMBO variants can easily be implemented on parallel computer architecture without having over burden or modifications.
Since label correcting methods use a less strict ordering than tracking methods, they can sometimes be implemented on parallel architectures.
Both algorithms have a regular recursive structure and good numerical stability and are easy to be implemented on parallel computers.
In contrast, the more general class of label correcting methods can solve anisotropic problems [3] and can sometimes be implemented on parallel computing architectures [37, 41].
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In addition, the numerical method is implemented on parallel distributed-memory computers using a domain-decomposition approach.
The ReaxFF-MD simulation algorithm has been implemented on parallel computers based on a spatial decomposition scheme combined with distributed n-tuple data structures.
Because those softwares are used to analyze large and complex case studies in a limited amount of time, they are implemented on parallel distributed computers.
To the best of our knowledge, the presented algorithm is also the first suboptimal parallel algorithm for the visibility problem that can be implemented on existing parallel architectures.
This fact makes FDTD an extremely suitable method to be implemented on a parallel architecture [12].
The proposed algorithm is assigned to be implemented on a parallel machine, which is the reconfigurable mesh computer (RMC).
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