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

IPDPS '13 Proceedings of the 2013 IEEE 27th International Symposium on Parallel and Distributed Processing(2013)

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摘要
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.
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关键词
multi-node systems,dynamic scheduling,implementation scale,native linpack implementation,xeon phi,co-processor efficiency,linpack benchmark,knights corner,code-named knights corner,single-node hybrid implementation,hybrid configuration,native dgemm implementation,multicore processors,vectors,lu factorization,bandwidth,kernel,registers,matrix decomposition,linear algebra,simd,coprocessors
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