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The phrase "a huge amount of computation" is correct and usable in written English.
It can be used when discussing the extent or volume of computational tasks or processes involved in a particular context, such as computing, data analysis, or algorithm performance.
Example: "The new algorithm requires a huge amount of computation to process the data efficiently."
Alternatives: "a significant volume of computation" or "a large quantity of computation."
Exact(1)
These methods, however, cannot be used by sink nodes on-the-fly during network operation, since they require a huge amount of computation which sink nodes cannot achieve with the current technology.
Similar(59)
To get the same information with likelihood-based methods would require a huge amount of additional computation whereas, with ABC, the largest proportion of computation used for estimating parameters can be recycled in a bias/precision analysis.
At high frequencies FEM and BEM based packages require huge amount of computation memory and time for their executions that DPSM technique can avoid.
The computational time goes up exponentially with higher number of applications since it requires huge amount of computation and storage to update the matrix.
This scheme will bring FC huge amount of computation as N 2 because direct and indirect information interactions have occurred in any of the two or more users.
However, the mutual information-based network models require huge amount of computation that is not feasible for modeling all the genes.
However, it requires a huge amount of storage and creates a tremendous computation burden due to the size of random measurement matrix in compressive sensing theory for big data collection.
Pipelines can leverage from distributed computing, and in this way, a huge amount of processes can result in much less computation time.
This alternative scheme was based on the fact of not requiring intermediate data computation storage by saving a huge amount of memory and to recalculate whenever data were used.
The large-scale scientific simulations generate a huge amount of data that widens the gap between the I/O capacity and computation abilities of high-end computing (HEC) machines [51].
A huge amount of money is involved.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com