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In this context, techniques for reducing computing time using parallel processors are discussed.
Blocking is useful for reducing computing time, but may decrease the sensitivity if blocking variables are measured with error.
In this regard, high-performance computing offers a markedly competitive edge, not only in reducing computing time but also in tuning optimal models for whole-genome prediction.
To retain the accuracy of BayesR while reducing computing time, we propose here an EM algorithm, termed emBayesR, for genomic prediction, as an alternative to the MCMC implementation of BayesR.
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Furthermore, bit-level reconfigurability also creates architectural inefficiencies, which increases area and power overheads while reducing compute density.
This reduces computing time for linear algebra calls by a factor of 3 or more.
In First Union's case, DataSynapse's software has reduced computing times for most assets to minutes from hours, Mr. Lee said.
One of the methods to reduce computing costs in stochastic optimization is to use approximation techniques.
A Kriging model of drag coefficient is constructed with those points to reduce computing costs.
Response surface approximation was used to approximate the objective function to reduce computing time.
According to our numerical tests, constraints can reduce computing load substantially.
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