Evolutionary inference of biochemical reaction networks accelerated on graphics processing units

机译：在图形处理单元上加速生化反应网络的进化推断

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The reverse engineering (RE) of biochemical reaction networks is a fundamental and very complex task in Systems Biology. My PhD thesis is focused on the definition of an automatic RE methodology based on the fusion of Genetic Programming and Particle Swarm Optimization. The methodology I propose relies on the execution of a massive number of simulations, whose computational costs are relevant. To the aim of reducing the overall running time, I am implementing the methodology on a parallel architecture, namely, Nvidia's CUDA.

机译：生物化学反应网络的逆向工程（RE）是系统生物学的基本且非常复杂的任务。我的博士学论文专注于基于遗传编程和粒子群优化的融合的自动重新方法的定义。我提出的方法依赖于执行大量模拟，其计算成本是相关的。为了减少整体运行时间，我正在并行架构实施方法，即Nvidia的CUDA。

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《International Conference on High Performance Computing and Simulation》|2013年||共3页
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Nobile Marco S.; Mauri Giancarlo;
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中图分类一般性问题;
关键词
GPGPU Computing; Genetic Programming; Particle Swarm Optimization; Reverse Engineering; Systems Biology;

机译：GPGPU计算;遗传编程;粒子群优化;逆向工程;系统生物学;

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机译：加速图形处理单元上的RTTOV-7 IASI和AMSU-A辐射传递模型：评估中央处理单元/图形处理单元-混合和纯图形处理单元方法
2. The feasibility of genome-scale biological network inference using Graphics Processing Units [J] . Raghuram Thiagarajan, Amir Alavi, Jagdeep T. Podichetty, Algorithms for Molecular Biology . 2017,第1期

机译：使用图形处理单元进行基因组规模的生物网络推断的可行性
3. Accelerating reaction-diffusion simulations with general-purpose graphics processing units [J] . Vigelius, Matthias, Lane, Aidan, Meyer, Bernd . Bioinformatics . 2011,第2期

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4. Evolutionary inference of biochemical reaction networks accelerated on graphics processing units [C] . Nobile Marco S., Mauri Giancarlo 2013 International Conference on High Performance Computing and Simulation . 2013

机译：在图形处理单元上加速生化反应网络的进化推理
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6. The feasibility of genome-scale biological network inference using Graphics Processing Units [O] . Raghuram Thiagarajan, Amir Alavi, Jagdeep T. Podichetty, 2017

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机译：使用图形处理单元加速视线计算

Evolutionary inference of biochemical reaction networks accelerated on graphics processing units

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