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Multi-mode Network Analysis under Differential Privacy

Journal of Physics: Conference Series 2021年第1期2082卷

作者： Yuning Song Liping Ding Mengying Dong Xuehua Liu Xiao Wang (Laboratory of Parallel Software and Computational Science Institute of Software Chinese Academy of Sciences Beijing 100190) (Digital Forensics Laboratory Institute of Software Application Technology Guangzhou (GZIS) Guangzhou 511458) (State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing 100093)

With the advent of the big data era and the advancement of social network analysis, the public is increasingly concerned about the privacy protection in today's complex social networks. For the past few years, the rapid development of differential privacy (DP) technology, as a method with a reliable theoretical basis, can effectively solve the key problem of how to "disassociate" personal information in social networks. This paper focuses on the multi-mode heterogeneous network model which has attracted a lot of attention in the field of network research. It introduces differential privacy and its application in big social networks briefly first, and then proposes a centrality-analysis method based on DP in a typical social network, i.e. the multi-mode network. The calculation principle and applicable scenarios are discussed. Then, its utility is analyzed and evaluated through experimental simulation. Possible improvement of DP algorithm in multi-mode networks above is prospected in the end.

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基于OpenCL的连续数据无关访存密集型函数并行与优化研究

基于OpenCL的连续数据无关访存密集型函数并行与优化研究

引用

2012全国高性能计算学术年会

作者： JIANG Li-yuan 蒋丽媛 ZHANG Yun-quan 张云泉 LONG Guo-ping 龙国平 JIA Hai-peng 贾海鹏 Laboratory of Parallel Software and Computational Science Institute of Software Chinese Academy of 中国科学院软件研究所并行软件与计算科学实验室北京 100190 中国科学院研究生院北京 100190 Laboratory of Parallel Software and Computational Science Institute of Software Chinese Academy of 中国科学院软件研究所并行软件与计算科学实验室北京 100190 中国科学院软件研究所计算机科学国家重点实验室北京 100190 Laboratory of Parallel Software and Computational Science Institute of Software Chinese Academy of 中国科学院软件研究所并行软件与计算科学实验室北京 100190 Laboratory of Parallel Software and Computational Science Institute of Software Chinese Academy of 中国科学院软件研究所并行软件与计算科学实验室北京 100190 中国海洋大学信息科学与工程学院青岛 266100

连续的数据无关是指计算目标矩阵连续的元素时使用的源矩阵元素之间没有关系且也为连续的，访存密集型是指函数的计算量较小，但是有大量的数据传输操作.本文在OpenCL框架下，以bitwise函数为例，研究和实现了连续数据无关访存密集型函... 详细信息

连续的数据无关是指计算目标矩阵连续的元素时使用的源矩阵元素之间没有关系且也为连续的，访存密集型是指函数的计算量较小，但是有大量的数据传输操作.本文在OpenCL框架下，以bitwise函数为例，研究和实现了连续数据无关访存密集型函数在GPU平台上的并行与优化.在考察了向量化、线程组织方式和指令选择优化等多个优化角度在不同的GPU硬件平台上对性能的影响之后，实现了这个函数的跨平台性能移植.实验结果表明，在不考虑数据传输的前提下，优化后的函数与这个函数在OpenCV库中的CPU版本相比，在AMD HD 5850 GPU达到了平均40倍的性能加速比;在AMD HD 7970 GPU达到了平均90倍的性能加速比;在NVIDIA Tesla C2050 GPU上达到了平均60倍的性能加速比;同时，与这两个函数在OpenCV库中的CUDA实现相比，在NVIDIA Tesla C2050平台上，也达到了1.5倍的性能加速.

关键词：图像处理器连续数据无关访存密集型函数性能移植

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基于OpenCL的addWeighted和magnitudeSqr算法性能优化研究

基于OpenCL的addWeighted和magnitudeSqr算法性能优化研究

引用

2012全国高性能计算学术年会

作者： Zhang Long 张龙 Zhang Yun-quan 张云泉 Long Guo-ping 龙国平 Jia Hai-peng 贾海鹏 Yan Shen-gen 颜深根 Laboratory of Parallel Software and Computational Science Institute of SoftwareChinese Academy of S 中国科学院软件研究所并行软件与计算科学实验室北京100190 中国科学院研究生院北京100190 Laboratory of Parallel Software and Computational Science Institute of SoftwareChinese Academy of S 中国科学院软件研究所并行软件与计算科学实验室北京100190 中国科学院软件研究所计算机科学国家重点实验室北京100190 Laboratory of Parallel Software and Computational Science Institute of SoftwareChinese Academy of S 中国科学院软件研究所并行软件与计算科学实验室北京100190 Laboratory of Parallel Software and Computational Science Institute of SoftwareChinese Academy of S 中国科学院软件研究所并行软件与计算科学实验室北京100190 中国海洋大学信息科学与工程学院青岛266100 Laboratory of Parallel Software and Computational Science Institute of SoftwareChinese Academy of S 中国科学院软件研究所并行软件与计算科学实验室北京100190 中国科学院软件研究所计算机科学国家重点实验室北京100190 中国科学院研究生院北京100190

目前GPU已经成为提高算法性能的一个重要途径,OpenCL 是一个为异构平台编写程序的框架,此异构平台可由CPU、GPU 或其他类型的多核/众核处理器组成.本文主要介绍基于OpenCL 框架在GPU 上对开源视觉库(OpenCV)中访存密集型函数addWeighted... 详细信息

目前GPU已经成为提高算法性能的一个重要途径,OpenCL 是一个为异构平台编写程序的框架,此异构平台可由CPU、GPU 或其他类型的多核/众核处理器组成.本文主要介绍基于OpenCL 框架在GPU 上对开源视觉库(OpenCV)中访存密集型函数addWeighted 和magnitudeSqr 进行实现和优化,优化方法主要有向量化读取,NDrange 优化和内存对齐,并将结果与CPU,CUDA 进行了对比分析,相较于CPU 版本最高达到了74.4 的加速比.

关键词：图形处理器开放计算语言矩阵运算函数性能优化

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基于OpenCL的均值平移算法在多个众核平台的性能优化研究

基于OpenCL的均值平移算法在多个众核平台的性能优化研究

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2012全国高性能计算学术年会

作者： Pang Xu 庞旭 Zhang Yun-quan 张云泉 Long Guo-ping 龙国平 Jia Hai-peng 贾海鹏 Yan Shen-gen 颜深根 Laboratory of Parallel Software and Computational Science Institute of Software Chinese Academy of 中国科学院软件研究所并行软件与计算科学实验室北京 100190 中国科学院研究生院北京 100190 Laboratory of Parallel Software and Computational Science Institute of Software Chinese Academy of 中国科学院软件研究所并行软件与计算科学实验室北京 100190 中国科学院软件研究所计算机科学国家重点实验室北京 100190 Laboratory of Parallel Software and Computational Science Institute of Software Chinese Academy of 中国科学院软件研究所并行软件与计算科学实验室北京 100190 Laboratory of Parallel Software and Computational Science Institute of Software Chinese Academy of 中国科学院软件研究所并行软件与计算科学实验室北京 100190 中国海洋大学信息科学与工程学院青岛 266100 Laboratory of Parallel Software and Computational Science Institute of Software Chinese Academy of 中国科学院软件研究所并行软件与计算科学实验室北京 100190 中国科学院软件研究所计算机科学国家重点实验室北京 100190 中国科学院研究生院北京 100190

OpenCL作为一种面向多种平台、通用目的的编程标准，已经对许多应用程序进行了加速.由于平台硬件和软件环境的差异，通用的优化方法不一定在所有平台都有很好的加速.本文通过对均值平移算法在GPU和APU平台的优化，探讨了不同平台各种优... 详细信息

OpenCL作为一种面向多种平台、通用目的的编程标准，已经对许多应用程序进行了加速.由于平台硬件和软件环境的差异，通用的优化方法不一定在所有平台都有很好的加速.本文通过对均值平移算法在GPU和APU平台的优化，探讨了不同平台各种优化方法的贡献力，一方面研究各个平台的计算特性，一方面体会不同优化方法的优劣，在优劣的相互转化中，寻求最优的解决方案.实验表明，优化后的算法在AMD GPU平台、NVIDIA CUDA平台和APU平台分别达到了9.68、5.74和1.27倍加速，相比串行程序达到79.73、93.88和2.22倍加速，前两个平台相比CUDA版本的OpenCV程序达到1.27和1.24倍加速.

关键词：图形处理器众核平台性能优化均值平移算法

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基于大型场景的高精度成像并行光线追踪算法

基于大型场景的高精度成像并行光线追踪算法

引用

2012全国高性能计算学术年会

作者： Wu Chang Ma 吴长茂 Zhang Yun Quan 张云泉 Yang Cong Li 杨聪俐 Luo Tao 骆涛 Qiu Zhen Ge 邱振戈 Xie Jin Hua 谢金华 Laboratory of Parallel Software and Computational Science Institute of Software Chinese Academy of 中国科学院软件研究所并行软件与计算科学实验室北京 100190 中国科学院软件研究所计算机科学国家重点实验室北京 100190 中国科学院研究生院北京 100049 Laboratory of Parallel Software and Computational Science Institute of Software Chinese Academy of 中国科学院软件研究所并行软件与计算科学实验室北京 100190 中国科学院软件研究所计算机科学国家重点实验室北京 100190 Laboratory of Parallel Software and Computational Science Institute of Software Chinese Academy of 中国科学院软件研究所并行软件与计算科学实验室北京 100190 School of Computer Science and Technology University of Science and Technology of China Hefei 2300 中国科学技术大学计算机科学与技术学院安徽合肥 230027 国家高性能计算中心安徽合肥 230026 Center of Satellite Surveying and Mapping Application the State Bureau of Surveying and MappingBei 国家测绘局卫星测绘应用中心北京 100830

光线跟踪(RayTracing)，也称为光迹追踪，是计算机图形学的核心算法之一，用于从三维场景生成逼真的二维图像.追踪光线是计算密集型操作，同时二维图像的每个像素需要投射一条甚至多条光线与场景求交，导致光线追踪计算量大效率低.对于... 详细信息

光线跟踪(RayTracing)，也称为光迹追踪，是计算机图形学的核心算法之一，用于从三维场景生成逼真的二维图像.追踪光线是计算密集型操作，同时二维图像的每个像素需要投射一条甚至多条光线与场景求交，导致光线追踪计算量大效率低.对于大型场景的高精度成像问题情况变得更加糟糕.本文针对大型场景的高精度光线追踪成像耗时大效率低的问题，提出了一种分布式并行渲染的光线追踪算法.在32个CPU核上最高取得了30.7的加速比，算法具有良好的效率和扩展性.

关键词：光线追踪算法高精度成像并行计算分布式计算

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Foundational Competencies and Responsibilities of a Research software Engineer

arXiv

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arXiv 2023年

作者： Goth, Florian Alves, Renato Braun, Matthias Castro, Leyla Jael Chourdakis, Gerasimos Christ, Simon Cohen, Jeremy Druskat, Stephan Erxleben, Fredo Grad, Jean-Noël Hagdorn, Magnus Hodges, Toby Juckeland, Guido Kempf, Dominic Lamprecht, Anna-Lena Linxweiler, Jan Löffler, Frank Martone, Michele Schwarzmeier, Moritz Seibold, Heidi Thiele, Jan Philipp Waldow, Harald von Wittke, Samantha Institute for Theoretical Physics and Astrophysics University of Würzburg Germany European Molecular Biology Laboratory Heidelberg Germany Cluster of Excellence IntCDC University of Stuttgart Germany ZB MED Information Centre for Life Sciences Cologne Germany School of Computation Information and Technology Technical University of Munich Garching Germany Institute for Parallel and Distributed Systems University of Stuttgart Stuttgart Germany Leibniz University Hannover Department of Cell Biology and Biophysics Computational Biology Germany Imperial College London London United Kingdom Institute for Software Technology Berlin Germany Humboldt-Universität zu Berlin Department of Computer Science Berlin Germany Helmholtz-Zentrum Dresden-Rossendorf Germany Institute for Computational Physics University of Stuttgart Germany Geschäftsbereich IT Charité Universitätsmedizin Berlin Germany The Carpentries United States Heidelberg University Scientific Software Center Germany Institute of Computer Science University of Potsdam Germany Technische Universität Braunschweig Germany Michael Stifel Center Jena Friedrich Schiller University Jena Germany Leibniz Supercomputing Centre Garching Germany Mathematical Modeling and Analysis TU Darmstadt Germany IGDORE Munich Germany Weierstrass Institute Berlin Germany Leibniz University Hannover Institute of Applied Mathematics Scientific Computing Hannover Germany Johann Heinrich von Thünen Institute Centre for Information Management Germany

The term Research software Engineer, or RSE, emerged a little over 10 years ago as a way to represent individuals working in the research community but focusing on software development. The term has been widely adopted and there are a number of high-level definitions of what an RSE is. However, the roles of RSEs vary depending on the institutional context they work in. At one end of the spectrum, RSE roles may look similar to a traditional research role. At the other extreme, they resemble that of a software engineer in industry. Most RSE roles inhabit the space between these two extremes. Therefore, providing a straightforward, comprehensive definition of what an RSE does and what experience, skills and competencies are required to become one is challenging. In this community paper we define the broad notion of what an RSE is, explore the different types of work they undertake, and define a list of foundational competencies as well as values that outline the general profile of an RSE. Further research and training can build upon this foundation of skills and focus on various aspects in greater detail. We expect that graduates and practitioners will have a larger and more diverse set of skills than outlined here. On this basis, we elaborate on the progression of these skills along different dimensions. We look at specific types of RSE roles, propose recommendations for organisations, and give examples of future specialisations. An appendix details how existing curricula fit into this framework. © 2023, CC BY.

关键词： Computer aided software engineering

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CP2K: An electronic structure and molecular dynamics software package quickstep: Efficient and accurate electronic structure calculations

arXiv

引用

arXiv 2020年

作者： Kühne, Thomas D. Iannuzzi, Marcella Ben, Mauro Del Rybkin, Vladimir V. Seewald, Patrick Stein, Frederick Laino, Teodoro Khaliullin, Rustam Z. Schütt, Ole Schiffmann, Florian Golze, Dorothea Wilhelm, Jan Chulkov, Sergey Bani-Hashemian, Mohammad Hossein Weber, Valéry Borštnik, Urban Taillefumier, Mathieu Jakobovits, Alice Shoshana Lazzaro, Alfio Pabst, Hans Müller, Tiziano Schade, Robert Guidon, Manuel Andermatt, Samuel Holmberg, Nico Schenter, Gregory K. Hehn, Anna Bussy, Augustin Belleflamme, Fabian Tabacchi, Gloria Glöß, Andreas Lass, Michael Bethune, Iain Mundy, Christopher J. Plessl, Christian Watkins, Matt VandeVondele, Joost Krack, Matthias Hutter, Jürg Dynamics of Condensed Matter and Center for Sustainable Systems Design Chair of Theoretical Chemistry Paderborn University Warburger Str. 100 PaderbornD-33098 Germany Department of Chemistry University of Zurich Winterthurerstrasse 190 ZürichCH-8057 Switzerland Computational Research Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States IBM Research - Zurich Säumerstrasse 4 RüschlikonCH-8803 Switzerland Department of Chemistry McGill University CH-801 Sherbrooke St. West MontrealQCH3A 0B8 Canada Department of Materials ETH Zürich ZürichCH-8092 Switzerland Centre of Policy Studies Victoria University Melbourne Australia Department of Applied Physics Aalto University Otakaari 1 EspooFI-02150 Finland Institute of Theoretical Physics University of Regensburg Universitätsstraße 31 RegensburgD-93053 Germany School of Mathematics and Physics University of Lincoln Brayford Pool Lincoln United Kingdom Integrated Systems Laboratory ETH Zürich ZürichCH-8092 Switzerland Scientific IT Services ETH Zürich Zürich Switzerland ETH Zürich HPE Switzerland GmbH Basel Switzerland Intel Extreme Computing Software and Systems Zürich Switzerland Department of Computer Science and Paderborn Center for Parallel Computing Paderborn University Warburger Str. 100 PaderbornD-33098 Germany Department of Chemistry and Materials Science Aalto University P.O. Box 16100 Aalto00076 Finland Physical Science Division Pacific Northwest National Laboratory P. O. Box 999 RichlandWA99352 United States Department of Science and High Technology University of Insubria INSTM via Valleggio 9 ComoI-22100 Italy BASF SE Carl-Bosch-Straße 38 Ludwigshafen am RheinD-67056 Germany Hartree Centre Science and Technology Facilities Council United Kingdom Laboratory for Scientific Computing and Modelling Paul Scherrer Institute Villigen PSICH-5232 Switzerland

CP2K is an open source electronic structure and molecular dynamics software package to perform atomistic simulations of solid-state, liquid, molecular and biological systems. It is especially aimed at massively-parallel and linear-scaling electronic structure methods and state-of-the-art ab-initio molecular dynamics simulations. Excellent performance for electronic structure calculations is achieved using novel algorithms implemented for modern high-performance computing systems. This review revisits the main capabilities of CP2K to perform efficient and accurate electronic structure simulations. The emphasis is put on density functional theory and multiple post-Hartree-Fock methods using the Gaussian and plane wave approach and its augmented all-electron extension. Copyright © 2020, The Authors. All rights reserved.

关键词： Electronic structure

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