基于KNC的NASA超级计算机早期多节点性能评估

S. Saini, Haoqiang Jin, D. Jespersen, Samson Cheung, M. J. Djomehri, Johnny Chang, R. Hood
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引用次数: 8

摘要

我们对双轨14数据速率(FDR) InfiniBand (IB)连接集群进行了性能评估,其中每个节点都有两个Intel Xeon E5-2670 (Sandy Bridge)处理器和两个Intel Xeon Phi协处理器。Xeon Phi基于多集成核心(MIC)架构,属于骑士角(KNC)一代。我们在研究中使用了几种基准。我们运行了NAS并行基准测试(NPB)的MPI和多区域版本——都是针对Xeon Phi的原始版本和优化版本。在全面基准测试中,我们运行了两个版本的WRF,其中一个版本针对MIC进行了优化,并使用了12公里的美国大陆(CONUS)数据集。我们还使用了OVERFLOW的原始和优化版本,并运行了四种不同的数据集,以了解对称模式下的扩展和相关的负载平衡问题。我们介绍了使用主机+ MIC组合的四种不同模式的性能:本机主机、本机MIC、卸载和对称。我们还讨论了为卸载模式以及WRF和OVERFLOW优化两个npb所使用的各种优化技术。针对MIC优化的WRF 3.4比原始的NCAR WRF 3.4运行速度快47%。优化版本的OVERFLOW在主机上的运行速度提高了18%,所使用的负载平衡策略将MIC上的性能提高了5%到36%,具体取决于数据大小。此外,我们还讨论了对称模式下的卸载模式和负载均衡的相关问题。
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Early Multi-node Performance Evaluation of a Knights Corner (KNC) Based NASA Supercomputer
We have conducted performance evaluation of a dual-rail Fourteen Data Rate (FDR) InfiniBand (IB) connected cluster, where each node has two Intel Xeon E5-2670 (Sandy Bridge) processors and two Intel Xeon Phi coprocessors. The Xeon Phi, based on the Many Integrated Core (MIC) architecture, is of the Knights Corner (KNC) generation. We used several types of benchmarks for the study. We ran the MPI and multi-zone versions of the NAS Parallel Benchmarks (NPB) -- both original and optimized for the Xeon Phi. Among the full-scale benchmarks, we ran two versions of WRF, including one optimized for the MIC, and used a 12 Km Continental U.S (CONUS) data set. We also used original and optimized versions of OVERFLOW and ran with four different datasets to understand scaling in symmetric mode and related load-balancing issues. We present performance for the four different modes of using the host + MIC combination: native host, native MIC, offload, and symmetric. We also discuss the various optimization techniques used in optimizing two of the NPBs for offload mode as well as WRF and OVERFLOW. WRF 3.4 optimized for MIC runs 47% faster than the original NCAR WRF 3.4. The optimized version of OVERFLOW runs 18% faster on the host and the load-balancing strategy used improves the performance on MIC by 5% to 36% depending on the data size. In addition, we discuss the issues related to offload mode and load balancing in symmetric mode.
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