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"We've actually been successful in using distributed computing to achieve fundamental results in computational biology," said Vijay Pande, the Stanford professor of chemistry and structural biology who directs Folding@Home and the 80,000-plus volunteers it has enlisted.
"For quantum computing to achieve its enormous potential in such diverse areas as genetically personalized medicine, mission planning, systems optimization and machine learning, we need to build a software ecosystem through partnerships with world experts.
Therefore, the social relationship between users such as the horizontal and vertical relationships cannot be fully exploited in fog computing to achieve the efficient data forwarding, where the horizontal and vertical relationships describe users with similar behaviors and users with different characteristics respectively.
Finally, Sigma users can optionally use high-performance computing to achieve fast analysis with short turnaround time.
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The intrinsic complexity in the parallelization of the single step has traditionally led to the exploitation of parallelism in the computation of independent instances of the same simulation, which should anyway be computed to achieve statistical convergence of simulated trajectories (as in all Monte Carlo methods).
Four kinds of dielectric layers is computed to achieve the perfect absorption perform.
The low-frequency data are removed from the DEM, and the mean squares of the residuals are computed to achieve the DEM weight information.
Using the Unit Load Method, the necessary adjustments in a pre-determined set of constrains is computed to achieve exactly this distribution.
Using extensive in-situ monitoring and analytical models developed for this effort, the full retrofit was computed to achieve a 41% reduction in annual central pumping electricity, representing an annual savings of 12% of all owner-paid energy bills.
Scaled scores were computed to achieve a range of 0 100, making comparisons between scales easier.
Because of the hardware limitation, in this work we adopt a coarse-grained model and distribute the computation in the cluster computing environment to achieve parallelism.
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