一类Stencil应用在众核NUMA架构的性能研究

Performance Research of a Class of Stencil Applied in Many-Core NUMA Architecture

【应用背景】模板计算是CFD(计算流体动力学,Computational Fluid Dynamics)等科学计算的典型算法,其访存性能受到关注。NUMA架构因扩展性好,在以鲲鹏920处理器为代表的ARM架构上普遍被应用。【方法】使用性能分析工具和benchmark程序,对鲲鹏平台的访存和通信子系统进行性能测试。针对典型stencil应用软件CCFD V3.0开展热点分析和性能测试,并建立Roofline模型。【结果】鲲鹏920处理器依托其众核NUMA架构,单节点浮点性能、内存带宽峰值,以及通信时延均优于Intel Xeon E5-2680v2与一款国产处理器。单节点时,CCFD V3.0在鲲鹏平台的运行速度约是Intel平台的2~3倍,是国产处理器的1.5~2倍。【结论】基于ARM架构的鲲鹏平台应用移植简单,其NUMA架构对模板计算一类访存密集性应用具有优势。

[Application Background]Stencil is a typical algorithm for scientific computing such as CFD(Computational Fluid Dynamics),and its memory access performance has attracted attention.The NUMA architecture is widely used in the ARM architecture represented by the Kunpeng 920 processor due to its good scalability.[Methods]Performance analysis tools and benchmark programs are used to test the performance of the Kunpeng platform's memory access and com-munication subsystems.The hot spot analysis and performance test are carried out for the typi-cal stencil application software CCFD V3.0,and the Roofline model is established.[Results]The Kunpeng 920 processor relies on its many-core NUMA architecture.Its single-node float-ing-point performance,peak memory bandwidth,and communication latency are better than that of the Intel Xeon E5-2680v2 and another domestic processor.On a single node,the execution speed of CCFD V3.0 on the Kunpeng platform is about 2~3 times of that of the Intel platform and 1.5~2 times of that of the domestic processor.[Conclusions]The Kunpeng platform based on the ARM architecture is easy in program porting,and its NUMA architecture has advantages for memory-intensive applications such as stencil.