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Characterizing the efficiency of multicore and manycore processors for the solution of sparse linear systems

机译:表征多核和多核处理器对稀疏线性系统解决方案的效率

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We analyze the efficiency of servers equipped with state-of-the-art general-purpose multicore processors as well as platforms based on accelerators such as graphics processing units (GPUs) and the Intel Xeon Phi. Following the proposal recently advocated in the High Performance Conjugate Gradient (HPCG) benchmark, we leverage for this purpose efficient implementations of ILUPACK, a preconditioned solver for sparse linear systems that comprises numerical kernels and data access patterns analogous to those of HPCG. Our study analyzes the (computational) performance and energy efficiency, with two different metrics for each: time/floating-point throughput for the former; and energy/floating-point throughput-per-Watt for the latter.
机译:我们分析了配备有最先进的通用多核处理器以及基于加速器(例如图形处理单元(GPU)和Intel Xeon Phi)的平台的服务器的效率。遵循最近在高性能共轭梯度(HPCG)基准中提出的建议,我们为此目的利用了ILUPACK的高效实现,ILUPACK是稀疏线性系统的预处理器,包括与HPCG相似的数值核和数据访问模式。我们的研究分析了(计算)性能和能效,每种都有两个不同的指标:前者的时间/浮点吞吐量;以及后者的每瓦能量/浮点吞吐量。

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