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Enabling Highly Efficient k-Means Computations on the SW26010 Many-Core Processor of sunway TaihuLight

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Journal of Computer Science & Technology 2019年第1期34卷 77-93页

作者： Min Li Chao Yang Qiao Sun Wen-Jing Ma Wen-Long Cao Yu-Long Ao Institute of Software Chinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China School of Mathematical Sciences Peking UniversityBeijing 100871China Center for Data Science Peking UniversityBeijing 100871China peng Cheng Laboratory Shenzhen 518052China

With the advent of the big data era,the amounts of sampling data and the dimensions of data features are rapidly *** is highly desired to enable fast and efficient clustering of unlabeled samples based on feature similarities. As a fundamental primitive for data clustering,the k-means operation is receiving increasingly more attentions *** achieve high performance k-means computations on modern multi-core/many-core systems,we propose a matrix-based fused framework that can achieve high performance by conducting computations on a distance matrix and at the same time can improve the memory reuse through the fusion of the distance-matrix computation and the nearest centroids *** implement and optimize the parallel k-means algorithm on the SW26010 many-core processor,which is the major horsepower of sunway *** particular,we design a task mapping strategy for load-balanced task distribution,a data sharing scheme to reduce the memory footprint and a register blocking strategy to increase the data *** techniques such as instruction reordering and double buffering are further applied to improve the sustained *** on block-size tuning and performance modeling are also *** show by experiments on both randomly generated and real-world datasets that our parallel implementation of k-means on SW26010 can sustain a double-precision performance of over 348.1 Gflops,which is 46.9% of the peak performance and 84%of the theoretical performance upper bound on a single core group,and can achieve a nearly ideal scalability to the whole SW26010 processor of four core *** comparisons with the previous state-of-the-art on both CPU and GPU are also provided to show the superiority of our optimized k-means kernel.

关键词： parallel k-means performance optimization SW26010 processor sunway TaihuLight

Heterogeneous Parallel Algorithm Design and Performance Optimization for WENO on the sunway TaihuLight Supercomputer

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Tsinghua Science and Technology 2020年第1期25卷 56-67页

作者： Jianqiang Huang Wentao Han Xiaoying Wang Wenguang Chen State Key Laboratory of Plateau Ecology and Agriculture Department of Computer Technology and ApplicationsQinghai UniversityXining 810016China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China

A Weighted Essentially Non-Oscillatory scheme(WENO) is a solution to hyperbolic conservation laws,suitable for solving high-density fluid interface instability with strong intermittency. These problems have a large and complex flow structure. To fully utilize the computing power of High Performance Computing(HPC) systems, it is necessary to develop specific methodologies to optimize the performance of applications based on the particular system’s architecture. The sunway TaihuLight supercomputer is currently ranked as the fastest supercomputer in the world. This article presents a heterogeneous parallel algorithm design and performance optimization of a high-order WENO on sunway TaihuLight. We analyzed characteristics of kernel functions, and proposed an appropriate heterogeneous parallel model. We also figured out the best division strategy for computing tasks,and implemented the parallel algorithm on sunway TaihuLight. By using access optimization, data dependency elimination, and vectorization optimization, our parallel algorithm can achieve up to 172× speedup on one single node, and additional 58× speedup on 64 nodes, with nearly linear scalability.

关键词： parallel algorithms Weighted Essentially Non-Oscillatory scheme(WENO) optimization many-core sunway TaihuLight

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SWVM: a light-weighted virtualization platform based on sunway CPU architecture

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Science China(Information Sciences) 2022年第6期65卷 258-260页

作者： Jianguo YAO Qiumin LU Xingyan WANG Chao WANG Hanyang MA Haibing GUAN School of Software Shanghai Jiao Tong University Wuxi Jiangnan Institute of Computing Technology

Dear editor,The national-dominated sunway CPU architecture [1–3] is now becoming mature in supporting professional application areas from large-scale numeric computing in supercomputer to maintaining online services in the network. However, as a newly-developed platform, its supporting environment still requires perfection in developing more system functionalities to improve its applicability,

关键词： sunway Virtualization Hypervisor Light-Weighted Virtual machines

Scalability and efficiency challenges for the exascale supercomputing system:practice of a parallel supporting environment on the sunway exascale prototype system

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Frontiers of Information Technology & Electronic Engineering 2023年第1期24卷 41-58页

作者： Xiaobin HE Xin CHEN Heng GUO Xin LIU Dexun CHEN Yuling YANG Jie GAO Yunlong FENG Longde CHEN Xiaona DIAO Zuoning CHEN National Research Center of Parallel Computer Engineering and Technology Beijing 100190China

With the continuous improvement of supercomputer performance and the integration of artificial intelligence with traditional scientific computing,the scale of applications is gradually increasing,from millions to tens of millions of computing cores,which raises great challenges to achieve high scalability and efficiency of parallel applications on super-large-scale *** the sunway exascale prototype system as an example,in this paper we first analyze the challenges of high scalability and high efficiency for parallel applications in the exascale *** overcome these challenges,the optimization technologies used in the parallel supporting environment software on the sunway exascale prototype system are highlighted,including the parallel operating system,input/output(I/O)optimization technology,ultra-large-scale parallel debugging technology,10-million-core parallel algorithm,and mixed-precision *** operating systems and I/O optimization technology mainly support largescale system scaling,while the ultra-large-scale parallel debugging technology,10-million-core parallel algorithm,and mixed-precision method mainly enhance the efficiency of large-scale ***,the contributions to various applications running on the sunway exascale prototype system are introduced,verifying the effectiveness of the parallel supporting environment design.

关键词： Parallel computing sunway Ultra-large-scale Supercomputer

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