Switching to High Gear: Opportunities for Grand-Scale Real-Time Parallel Simulations

K. Perumalla
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引用次数: 18

Abstract

The recent emergence of dramatically large computational power, spanning desktops with multi-core processors and multiple graphics cards to supercomputers with 105 processor cores, has suddenly resulted in simulation-based solutions trailing behind in the ability to fully tap the new computational capacity. Here, we motivate the need for switching the parallel simulation research to a higher gear to exploit the new, immense levels of computational power. The potential for grand-scale real-time solutions is illustrated using preliminary results from prototypes in four example application areas: (a) state- or regional-scale vehicular mobility modeling, (b) very large-scale epidemic modeling, (c) modeling the propagation of wireless network signals in very large, cluttered terrains, and, (d) country- or world-scale social behavioral modeling. We believe the stage is perfectly poised for the parallel/distributed simulation community to envision and formulate similar grand-scale, real-time simulation-based solutions in many application areas.
切换到高速:大规模实时并行模拟的机会
最近出现了巨大的计算能力,从具有多核处理器和多图形卡的台式机到具有105个处理器核的超级计算机,突然导致基于模拟的解决方案在充分利用新的计算能力方面落后。在这里,我们鼓励将并行模拟研究切换到更高的档位,以利用新的,巨大的计算能力水平。通过在四个示例应用领域的原型初步结果,说明了大规模实时解决方案的潜力:(a)州或区域尺度的车辆移动建模,(b)非常大规模的流行病建模,(c)在非常大的、杂乱的地形中无线网络信号传播的建模,以及(d)国家或世界尺度的社会行为建模。我们相信,对于并行/分布式仿真社区来说,在许多应用领域设想和制定类似的大规模、基于实时仿真的解决方案,这个阶段是完美的。
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