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Design and Implementation of the Linpack Benchmark for Single and Multi-node Systems Based on Intel® Xeon Phi Coprocessor

机译:基于英特尔®至强融核协处理器的单节点和多节点系统Linpack基准的设计和实现

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Dense linear algebra has been traditionally used to evaluate the performance and efficiency of new architectures. This trend has continued for the past half decade with the advent of multi-core processors and hardware accelerators. In this paper we describe how several flavors of the Linpack benchmark are accelerated on Intel's recently released Intel(R) Xeon Phi(TM) co-processor (code-named Knights Corner) in both native and hybrid configurations. Our native DGEMM implementation takes full advantage of Knights Corner's salient architectural features and successfully utilizes close to 90% of its peak compute capability. Our native Linpack implementation running entirely on Knights Corner employs novel dynamic scheduling and achieves close to 80% efficiency - the highest published co-processor efficiency. Similarly to native, our single-node hybrid implementation of Linpack also achieves nearly 80% efficiency. Using dynamic scheduling and an enhanced look-ahead scheme, this implementation scales well to a 100-node cluster, on which it achieves over 76% efficiency while delivering the total performance of 107 TFLOPS.
机译:传统上,稠密线性代数用于评估新体系结构的性能和效率。在过去的五年中,随着多核处理器和硬件加速器的出现,这种趋势一直持续。在本文中,我们描述了在本地配置和混合配置下,英特尔最新发布的英特尔®至强融核™协处理器(代号为Knights Corner)如何加速Linpack基准的多种口味。我们的本地DGEMM实现充分利用了Knights Corner的显着架构功能,并成功利用了其峰值计算能力的近90%。我们的本机Linpack实施完全在Knights Corner上运行,采用了新颖的动态调度,并实现了接近80%的效率-公布的最高协处理器效率。与本机相似,我们的Linpack单节点混合实施也实现了近80%的效率。使用动态调度和增强的超前计划,此实现可很好地扩展到100个节点的群集,在该群集上它可实现76%以上的效率,同时提供107 TFLOPS的总体性能。

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