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We also show how to reduce computation time on computers with a cache-based architecture.
Both of these computing architectures reduce computation time by exploiting the parallelism inherent in the application.
The use of parallel computing could drastically reduce computation time for MDR, particularly on a cluster machine.
Second, it must have low computational cost since we have to reduce computation time to a clinically acceptable level.
Its major advantage is to considerably reduce computation time.
Integration of LBM with AMR can significantly improve the accuracy and reduce computation cost.
Within hydrological models, flow approximations are commonly used to reduce computation time.
However, to reduce computation, we consider only the first instance of each subject as a target.
The compression level was set to optimum level (Zhang et al. 2010) to reduce computation time.
This involves optimizing our system architecture to further reduce computation time and memory footprint.
Note that the proposed beamforming scheme can reduce computation complexity by using global selfishness.
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