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We will be relying on this queue implementation throughout the rest of the semester, so it's important that the implementation be efficient.
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Major advantages in the present approach are: a) that genuinely three-dimensional turbulence is generated; b) that various ways of parametrisation can be created to control/characterise the randomly distributed eddies; and, c) that its numerical implementation is efficient as the size of domain section through which the turbulent eddies should be passing can be adjusted and minimised.
This implementation was efficient in terms of both speed and area.
Computational results show that our multi-GPU implementation is efficient in terms of scalability (95 and 93% using 2 and 4 GPUs, respectively), and the tendency indicates that GA convergence times would be even lower if more computational resources were available.
Our N otung implementation is efficient in practice.
Efficient Project Implementation Despite limited human resources of the project staff and key partners, implementation was efficient and generally followed the ambitious project design.
Since NC′ can be solved in the running time of a minimum s, t-cut problem (Hochbaum, 2010b), our FABS-NC′ implementation is efficient, solving in polynomial time.
The proposed model has been compared with several other state-of-the-art segmentation methods; our implementation is efficient and achieves comparable or better sensitivity and specificity in genomic segmentation.
Furthermore, the 4-thread mode achieved about a 3.5X acceleration compared with single-thread mode, while the 8-thread mode achieved an almost 6X acceleration, indicating that our multi-threading implementation is efficient.
A systematic review from Grimshaw et al. concluded that there was an imperfect evidence base to support decisions about which guideline dissemination and implementation are likely to be efficient under different circumstances [ 21].
A systematic review of 235 studies on (multifaceted) guideline implementation strategies presented imperfect evidence to support decisions about which guideline dissemination and implementation strategies are likely to be efficient under different circumstances.
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