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BLUEGENE/L APPLICATIONS: PARALLELISM ON A MASSIVE SCALE

机译:BLUEGENE / L应用程序:大规模并行

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BlueGene/L (BG/L), developed through a partnership between IBM and Lawrence Livermore National Laboratory (LLNL), is currently the world's largest system both in terms of scale, with 131,072 processors, and absolute performance, with a peak rate of 367 Tflop/s. BG/L has led the last four Top500 lists with a Unpack rate of 280.6 Tflop/s for the full machine installed at LLNL and is expected to remain the fastest computer in the next few editions. However, the real value of a machine such as BG/L derives from the scientific breakthroughs that real applications can produce by successfully using its unprecedented scale and computational power. In this paper, we describe our experiences with eight large scale applications on BG/ L from several application domains, ranging from molecular dynamics to dislocation dynamics and turbulence simulations to searches in semantic graphs. We also discuss the challenges we faced when scaling these codes and present several successful optimization techniques. All applications show excellent scaling behavior, even at very large processor counts, with one code even achieving a sustained performance of more than 100 Tflop/s, clearly demonstrating the real success of the BG/L design.
机译:通过IBM与Lawrence Livermore国家实验室(LLNL)合作开发的BlueGene / L(BG / L),目前在规模方面拥有131,072个处理器和绝对性能,是世界上最大的系统,峰值速率为367触发器/秒BG / L以LLNL安装的整台计算机的拆包速率为280.6 Tflop / s,位居前四名Top500列表中,并有望在接下来的几个版本中保持最快的速度。但是,诸如BG / L之类的机器的真正价值源于科学应用的突破,这些突破是实际应用可以通过成功利用其空前的规模和计算能力而产生的。在本文中,我们描述了我们在BG / L上的八个大规模应用的经验,这些应用来自多个应用领域,从分子动力学到位错动力学,湍流模拟到语义图搜索。我们还将讨论缩放这些代码时所面临的挑战,并介绍几种成功的优化技术。所有应用程序都表现出出色的缩放性能,即使在非常大的处理器数量下,一个代码甚至可以实现超过100 Tflop / s的持续性能,这清楚地证明了BG / L设计的真正成功。

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