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This approach was introduced about the same time as VB theory but has proved more amenable to quantitative implementation on computers.
This work presents the implementation, on computers with parallel architecture, of domain decomposition strategies for the coupled analysis of floating production systems (FPS).
Alternative algorithms, designed for implementation on computers with multiple processors, have been proposed since the first steps of development of this technique.
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This paper describes four parallelization approaches used in a finite-difference-based electromagnetic modeller for application in magnetic induction tomography (MIT) and suitable for implementation on computer systems with symmetric multiprocessor (SMP) architecture.
Shimobaba, T., Kakue, T. & Ito, T. Review of fast algorithms and hardware implementations on computer holography.
There exist more than a dozen implementations on computer platforms ranging from IBM SP-2 supercomputers to clusters of PCs running Windows NT or Linux ("Beowulf" machines).
Big Data problems and applications that are suitable for implementation on DataFlow computers should not be measured using the same measures as ControlFlow computers.
The computational process is intrinsically parallel in nature, and allows for a natural implementation on parallel computers.
The iterative method for solutions of discrete variational inequalities is very suitable for implementation on parallel computers with single-instruction, multiple-data architecture, particularly on massively parallel processors.
For example, Wu et al. (2014) discussed a multilevel preconditioner in a new-generation reservoir simulator and its implementation on multicore computers using OpenMP.
However, the stream-collide structure of these numerical schemes makes them suitable for an efficient implementation on quantum computers as well.
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