在IBM BlueGene/P超级计算机和SiCortex SC5832上实现松耦合串行作业执行
Enabling Loosely-Coupled Serial Job Execution on the IBM BlueGene/P Supercomputer and the SiCortex SC5832
摘要：
我们的工作解决了使执行高度并行计算组成的松散耦合的串行作业，没有修改各自的应用程序，在大规模的系统。这种方法允许新的（可能更大的）应用程序类别利用IBM Blue Gene/P超级计算机和类似的新兴千万亿次架构等系统。我们在这里提出的I/O性能遇到的挑战，使这个模型实用，并显示结果使用两个大规模的系统，BG/P和SiCortex SC 5832上的微基准和实际应用。我们的初步基准测试表明，我们可以扩展到4096处理器的蓝色基因/P和5832处理器的SiCortex的高效率，并可以实现数千任务/秒的持续执行速率的并行工作负载的普通串行应用程序。我们测量了两个领域的应用，经济能源建模和分子动力学。
英文摘要：
Our work addresses the enabling of the execution of highly parallel computations composed of loosely coupled serial jobs with no modifications to the respective applications, on large-scale systems. This approach allows new-and potentially far larger-classes of application to leverage systems such as the IBM Blue Gene/P supercomputer and similar emerging petascale architectures. We present here the challenges of I/O performance encountered in making this model practical, and show results using both micro-benchmarks and real applications on two large-scale systems, the BG/P and the SiCortex SC5832. Our preliminary benchmarks show that we can scale to 4096 processors on the Blue Gene/P and 5832 processors on the SiCortex with high efficiency, and can achieve thousands of tasks/sec sustained execution rates for parallel workloads of ordinary serial applications. We measured applications from two domains, economic energy modeling and molecular dynamics.
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