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Parallel FDTD Calculation Efficiency on Computers with Shared Memory Architecture

机译：具有共享内存架构的计算机上的并行FDTD计算效率

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Fast parallel processing of the FDTD method is becoming very important, and its efficiency on different multiprocessor computer architectures should be carefully examined. Is it possible to have the same versatile parallel FDTD simulator working efficiently on a set of very different computer architectures? In contrast to distributed memory systems, shared memory systems can be built with a variety of memory configuration types (and subtypes) as well as combined with distributed memory systems. The paper focuses on viability of different shared memory architectures for parallel FDTD processing. Our analysis concerns the processing method suitable for both shared and distributed memory systems. The results of experiments comparing parallel processing efficiency on different shared memory machines are presented.
机译：FDTD方法的快速并行处理变得非常重要，应仔细检查其对不同多处理计算机架构的效率。是否有可能在一组非常不同的计算机架构上有效地工作相同的多功能并行FDTD模拟器？与分布式存储器系统相比，共享存储器系统可以用各种内存配置类型（和子类型）以及与分布式存储系统组成。该文件侧重于不同共享内存架构的生存能力，用于并行FDTD处理。我们的分析涉及适用于共享和分布式存储器系统的处理方法。提出了比较不同共享存储器上的并行处理效率的实验结果。

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