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A Parallel Implementation of the Species Distribution Modeling Algorithm

机译：物种分布建模算法的并行实现

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Climate change together with changes in the atmosphere′s chemical composition are causing serious alterations in several ecosystems. These risks are mainly due to greenhouse gases concentrations, variation in rainfall periods, and the increase in the average temperature of the planet. The effects of these environmental problems have an impact on the distribution of several species. A strategy to know the affectations of these variables in the species distribution is presented in this paper. This strategy is implemented as a parallel version of a supervised classification technique called MaxLike. This parallel code runs in a Linux Centos OS based computer with 1,120 cores, 3 TB RAM. This parallel algorithm reaches a speedup of 12.56 with 16 cores configuration which improves significatively the execution time allowing a more extensive analysis of species distribution and a longer simulation over the time.
机译：气候变化与大气化学成分的变化一起导致几种生态系统中的严重改变。这些风险主要是由于温室气体浓度，降雨周期的变化，以及地球平均温度的增加。这些环境问题的影响对几种物种的分布产生了影响。本文提出了一种了解这些变量在物种分布中这些变量的策略。该策略实施为称为MaxLike的监督分类技术的并行版本。此并行代码在基于Linux CentOS OS的计算机中运行，其中1,120个核心，3 TB RAM。该并行算法达到了12.56的加速，具有16个核心配置，其提高了执行时间，允许随着时间的时间更广泛地分析物种分布和更长的仿真。

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