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In addition, the numerical method is implemented on parallel distributed-memory computers using a domain-decomposition approach.
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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].
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.
The algorithm is implemented on a PACE parallel processor developed at the DRDO laboratory ANURAG at Hyderabad, India, and its capability is demonstrated through an application example.
This algorithm is implemented on a distributed memory parallel cluster in order to solve the SCFT equations on large computational grids.
The presented strategy is adaptive for vehicle mass and road elevation, and is implemented on a standard Electronic Control Unit of a parallel hybrid electric truck.
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