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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >A parallel computational model for GATE simulations
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A parallel computational model for GATE simulations

机译：用于GATE仿真的并行计算模型

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摘要

GATE/Geant4 Monte Carlo simulations are computationally demanding applications, requiring thousands of processor hours to produce realistic results. The classical strategy of distributing the simulation of individual events does not apply efficiently for Positron Emission Tomography (PET) experiments, because it requires a centralized coincidence processing and large communication overheads. We propose a parallel computational model for GATE that handles event generation and coincidence processing in a simple and efficient way by decentralizing event generation and processing but maintaining a centralized event and time coordinator. The model is implemented with the inclusion of a new set of factory classes that can run the same executable in sequential or parallel mode. A Mann-Whitney test shows that the output produced by this parallel model in terms of number of tallies is equivalent (but not equal) to its sequential counterpart. Computational performance evaluation shows that the software is scalable and well balanced.
机译：GATE / Geant4蒙特卡洛模拟是对计算有严格要求的应用程序，需要数千个处理器小时才能产生真实的结果。分发单个事件的模拟的经典策略不适用于正电子发射断层扫描（PET）实验，因为它需要集中的重合处理和较大的通信开销。我们为GATE提出了一个并行计算模型，该模型通过分散事件生成和处理但保持集中的事件和时间协调器，以简单有效的方式处理事件生成和同时处理。该模型通过包含一组新的工厂类来实现，这些工厂类可以以顺序或并行模式运行相同的可执行文件。曼·惠特尼（Mann-Whitney）测试显示，此并行模型产生的输出（以记数为单位）等于（但不等于）其顺序对应的输出。计算性能评估表明该软件可扩展且平衡良好。

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