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In order to decrease the computing time, the number of source nodes is reduced.
These data sets were entered into a mixed linear model (MLM) with optimum compression and P3D variance component estimation to decrease the computing time for the large data set.
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Quantitatively, we calculated the spatial overlap between the identified networks and templates which are detailed in Tables 4 and 5. From these results, we can see that the integrated sampling module in HAFNI framework via HELPNI system significantly decreased the computing time while achieved comparable results for functional brain network identification at the same time.
One alternative solution to decreasing the computing time for BEAGLE and fastPHASE is parallel processing of the chromosome, as findhap implements a parallel computing algorithm.
The use of prior information on the sparsity of T-1 decreased the computing time for inversion by a factor of 1.73 on average.
Previous studies have mostly relied on parallelization and grid computing to decrease the computational time of MCSs.
As step 3 can be performed simultaneously for multiple random clustering, we implemented a parallel computing version of HMMC to decrease the computation time.
To decrease the computing gap the focus is on enhancing the information flow between humans and machines.
To decrease the computing gap the focus is on enhancing the information flow between humans and machines.
To deal with this issue, we suggest that a new variance reduction technique specially addressed for dose calculation in a heterogeneous medium must be developed by the Geant4 collaboration, in order to decrease the required computing time and to improve the statistical of calculations.
Using this implementation, the computing time decrease from 12.60μ s to 11.29μ s.
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