Examples of parallelization

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However, this commonly adopted framework of recursive data processing becomes an obstacle for effective parallelization.
We illustrate the method and the procedure by the systematic parallelization of the scan-function (parallel prefix) and of the maximum segment sum problem.
This method is not very useful in a parallelization, where a breadth-first traversal is called for.
We exploit this property both for optimization and for parallelization.
Though parallel algorithms for scan are a common knowledge, an automatic parallelization from only sequential representations is an original feature of our approach.
Low sequential performance also confronts research on parallelization techniques with a specific pitfall.
This indicates that the parallelization is efficiently done.
In order to use this supercomputer efficiently we have to use parallelization in distributed memories among nodes as well as parallelization in shared memory.
The latter fact also allows an optimal parallelization.
This opens the way to a concurrent logical computation (parallelization of the syntax).
Dependency and distribution morphisms express, respectively, two aspects of parallelization: (a) the logical dependency decomposition, and (b) partitioning and routing on a physical medium.
Reliance on underlying mutable data structures complicates parallelization, since interlocks are required to avoid interference between processors.
However, the relative computational complexity and hence, the relative computation time, should be independent of the hardware's computational power at equal levels of parallelization.
This experiment also demonstrates the sensitivity of sequentially competitive code to certain design decisions in parallelization.
The theorem provides a standard parallelization pattern for all homomorphisms as a composition of two stages.
However, efficient support for processing multidimensional arrays must be a primary concern for language design, implementation, and parallelization.
The proposed approach seems very suitable for parallelization, and that will probably be a path of research that we will explore in the near future.
The effectiveness of this preprocessing step is still dependent on how suitable the source code is for parallelization.
This effect makes parallelization techniques look more efficient than they actually are.

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