Sentence examples for improving computing efficiency from inspiring English sources

Fast forward to 2007, now comes the EPA with a just-released report on data center energy use, and in partnership with tech giants including Google and Intel, launching the new "Climate Savers Computing Initiative" (CSCI) directed at improving computing efficiency, maybe with CAFE-type standards in the wings.

An algorithm based on an evolutionary technique is proposed, with problem-specific genetic operators to improve computing efficiency.

Classical MTS algorithms manage to improve computing efficiency by multi-stepping within DPD or CGMD for up to one order of magnitude of scale differential.

Through the comparison of three methods (DCERSM, ERSM, Monte Carlo method), it is demonstrated that DCERSM reshapes the possibility of complex turbomachinery probabilistic analysis and improves computing efficiency while preserving the accuracy.

In practice, the likelihood could be linearized within sire families to improve computing efficiency.

Removing irrelevant or redundant features helps improve computing efficiency and estimation accuracy in the causal network.

We concede that our investigation is not exhaustive with respect to assessing all possible strategies to improve computing efficiency in these models; in fact, a hybrid approach may exist that combines some or all of the three presented sampling strategies that might be even computationally more efficient.

In view of its good performance in improving computational efficiency, parallel computing is considered to be a primary solution for power flow calculation in large-scale power system.

Through the comparison of methods shows that the DCFRM reshapes the probability of probabilistic analysis for multi-failure structure and improves the computing efficiency while keeping acceptable computational precision.

Through the comparison of three methods (Monte Carlo method, DNNM, PSO/BR-DNNM), it is demonstrated that PSO/BR-DNNM reshapes the probability of flexible mechanism probabilistic analysis and improves the computing efficiency while keeping acceptable computational precision.

To improve the computing efficiency and precision of transient probabilistic analysis of flexible mechanism, dynamic neural network method (DNNM -based improveDNNM -basedswarm optimprovedn (particleeswarmregularizatioptimizationled as PSO /Bayesianis pregularizationon the developed DNNM with the integration of extremum response surface method (ERSM) and artificial neural network (ANN).