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However, large pedigrees of model animal resources often contain repetitive substructures that can be utilized in accelerating computation.
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More importantly, the methods presented here can be applied to all likelihood-based (ML and Bayesian) programs for accelerating computations on typical phylogenomic alignments.
Other approaches have been proposed, with the aim of accelerating computations (emma for efficient mixed-model association, [ 45], emmax for eXpedited, [ 46] and P3D for Population Parameters Previously Determined, [ 40]).
A description of the methods used will be presented, followed by a discussion of the advanced GPU (Graphics Processing Unit) computing technology applied to accelerate computation.
Therefore, finding available computing resources is crucial to accelerate computation.
In [67], authors propose to compute k-cores as mean to accelerate computation of communities using standard algorithms, but on size-reduced graphs.
We need to check whether the accelerated computation using reduced precision is still generating meaningful results.
The method can accelerate computation and improve accuracy of the approximate gradient.
This paper presents a method to accelerate computation of MD simulation.
In Section 3, we present the multigrid dictionary refinement approach and we discuss its usefulness to accelerate computation and to improve resolution.
Some medical-electron-accelerator Monte Carlo codes derive from general codes, while others have been specifically designed to accelerate computation speed for treatment planning purposes.
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