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'increase computation' is a correct and usable phrase in written English.
It would typically be used to describe a situation when an increase in the amount of computation (usually involving some form of computing device) is needed, for example: "In order to solve this problem, we need to increase computation by utilizing more powerful computers.”.
Exact(17)
However, replacing failed slaves can increase computation cost because some failed tasks are re-computed on the replaced slaves.
Other computational optimizations currently in development are the use of parallel computing [20] and hardware acceleration using graphics processing units [21] to increase computation speed.
Best of all, this method was scalable to more arrays, and indeed we did increase to four arrays at one point to test the increase computation ability.
Thus, the problem of insufficient overlap will continue to affect the quality of the final point cloud model and will increase computation time.
In order to increase computation efficiency, one can integrate the re-ordering step into the last stage of the FFT/iFFT, rather than creating a separate routine.
Furthermore, integrating more accurate methods of orthologs prediction as those based on phylogeny will require reconstructing trees for each PHYLORPH request, and could drastically increase computation needs.
Similar(43)
Power efficiency investigation has been required in each level of a High Performance Computing (HPC) system because of the increasing computation demands of scientific and engineering applications.
Compared to the original non-linear activation, our proposed method can improve classification accuracy without increasing computation cost.
It provides an advantage of locating all samples in the failure domain and thus increasing computation efficiency.
However, coupling of series terms dramatically increases computation time in existing finite-strip sequential programs when a large number of series terms is used.
These were limited to only a few institutions until microprocessors were developed increasing computation speed and expanding memory capacity by many magnitudes.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com