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Efficient Collusion-Resisting Secure Sum Protocol

电子学报(英文版) 2011年第3期20卷 407-413页

作者： ZHU Youwen HUANG Liusheng YANG Wei YUAN Xing National High Performance Computing Center at Hefei Department of Computer Science and Technology University of Science and Technology of China Hefei China Suzhou Institute for Advanced Study University of Science and Technology of China Suzhou China

Secure sum protocol is a significant secure multiparty computation protocol and it has various applications in privacy-preserving distributed multiparty computation. However, most existing secure sum protocols rarely considered how to resist underlying collusion which is a significant practical problem. Urabe et al. proposed a collusion-resistant secure sum protocol, but too much cost of communication and computation results in its low performance efficiency. In this paper, we propose security definitions to measure secure multiparty computation protocol's capability of resisting potential collusion. Then, we precisely analyze several previous secure sum protocols' capability of resisting collusion. In addition, considering realistic requirement to resist collusion and performance efficiency needs, we present a novel collusion-resisting secure sum protocol. Theoretical analysis and experimental results confirm that our secure sum protocol is efficient and has strong capability of resisting potential collusion such that it is much superior to previous ones. The communication overheads and computation complexity of our scheme both are linearity of the number of participants. Besides, our protocol's capability of resisting collusion is adjustable according to different security needs.

关键词：安全多方计算协议抗合谋隐私保护安全总结安全协议计算结果通信开销安全需求

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Geodesic learning

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Physica A: Statistical Mechanics and its Applications 2025年 669卷

作者： Barua, Arnab Hatzikirou, Haralampos Abe, Sumiyoshi Tata Institute of Fundamental Research Hyderabad500046 India Technische Univesität Dresden Center for Information Services and High Performance Computing Nöthnitzer Straße 46 Dresden01187 Germany Mathematics Department Khalifa University P.O. Box: 127788 Abu Dhabi United Arab Emirates Department of Physics College of Information Science and Engineering Huaqiao University Xiamen361021 China Institute of Physics Kazan Federal University Kazan420008 Russia Department of Natural and Mathematical Sciences Turin Polytechnic University in Tashkent Tashkent100095 Uzbekistan

Learning is a fundamental characteristic of living systems, enabling them to comprehend their environments and make informed decisions. These decision-making processes are inherently influenced by available information about their surroundings and specific objectives. There is an intriguing perspective is that each process is highly efficient under a given set of conditions. A key question, then, is how close to optimality it is or how efficient it is under given conditions. Here, the concept of geodesic learning as the optimal reference process, with which each process can be compared, is introduced and formulated on the basis of geometry. The probability distribution describing the state of the composite system consisting of the environment, termed the information bath, and a decision-maker is described by use of the entropic quantities. This enables one to study the system in analogy with thermodynamics. Learning processes are expressed as the changes of parameters contained in the distribution. For a geometric interpretation of the processes, the manifold endowed with the Fisher-Rao metric as the Riemannian metric is considered. This framework allows one to conceptualize the optimality of each process as a state change along a geodesic curve on the manifold, which gives rise to geodesic learning. Then, the bivariate Gaussian model is presented, and the processes of geodesic learning and adaptation are analyzed for illustrating this approach. © 2025 Elsevier B.V.

关键词： Contrastive Learning

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Integrated research of parallel computing:Status and future

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Chinese Science Bulletin 2009年第11期54卷 1845-1853页

作者： CHEN GuoLiang SUN GuangZhong XU Yun LONG Bai Department of Computer Science and Technology University of Science and Technology of China National High PerformanceComputing Center Anhui Key Laboratory of High Performance Computing Hefei 230027 China

In the past twenty years, the research group in University of Science and technology of China has de-veloped an integrated research method for parallel computing, which is a combination of "Architecture-Algorithm-Programming-Application" . This method is also called the ecological environment of parallel computing research. In this paper, we survey the current status of integrated research method for par-allel computing and by combining the impact of multi-core systems, cloud computing and personal high performance computer, we present our outlook on the future development of parallel computing.

关键词：并行计算综合研究方法高性能计算机科学技术生态环境核系统编程算法

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Graph algorithms: parallelization and scalability

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Science China(Information Sciences) 2020年第10期63卷 234-254页

作者： Wenfei FAN Kun HE Qian LI Yue WANG School of Informatics University of Edinburgh Shenzhen Institute of Computing Sciences Shenzhen University Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Guangdong Province Key Laboratory of Popular High Performance Computers Shenzhen University

For computations on large-scale graphs, one often resorts to parallel algorithms. However, parallel algorithms are difficult to write, debug and analyze. Worse still, it is difficult to make algorithms parallelly scalable, such that the more machines are used, the faster the algorithms run. Indeed, it is not yet known whether any PTIME computational problems admit parallelly scalable algorithms on shared-nothing *** it possible to parallelize sequential graph algorithms and guarantee convergence at the correct results as long as the sequential algorithms are correct? Moreover, does a PTIME parallelly scalable problem exist on shared-nothing systems? This position paper answers both questions in the affirmative.

关键词： parallelization parallel scalability mathsf PTIMExspace problems graph algorithms shared-nothing systems

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Simulation of micro-channel flows by parallel DSMC

Simulation of micro-channel flows by parallel DSMC

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作者： Czerwinska, Justyna Fladrich, Uwe Center for High Performance Computing Dresden University of Technology Dresden Germany

ISBN: (纸本)0791836576

This paper is considering issues connected with parallelization of Direct Simulation Monte Carlo (later referred as DSMC). The method is applied to simulate gas flow in micro-channels. The general algorithm of DSMC can be divided into two steps: deterministic motion of particles and stochastic part, related to collisions of particles. This division also reflects in the way, how DSMC have to be parallelized. For the first part domain decomposition techniques are important, while the second step heavily depends on the parallel random number generator. Copyright © 2002 by ASME.

关键词： Flow of gases

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A Software Licenses Aware Job Scheduling and Management Approach on Multiclusters 19

A Software Licenses Aware Job Scheduling and Management Appr...

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第十五届分布式计算及其应用国际学术研讨会

作者： Zhengxiong Hou Jianhua Gu Xingshe Zhou Tianhai Zhao Center for High Performance Computing School of Computer Science and Technology NWPU

ISBN: (纸本)9781509035946

For commercial software in scientific and engineering computing,software licenses are needed when running them in high performance computing ***,there is a constraint for the number of software *** the traditional software licenses management approaches,there is a prominent *** jobs will fail immediately without available software ***,the existing job scheduling mechanisms mainly focus on hardware resources *** this paper,we propose a software licenses aware job scheduling and management approach on multi-clusters,which is a common scenario for current high performance computing *** on floating licenses and scheduling policies,the submitted jobs from multi-clusters requiring software licenses will be uniformly queued and scheduled.A co-scheduling mechanism is provided for the software licenses and hardware *** software and limited licenses can be shared and used efficiently on *** implemented and evaluated the approach in a real multi-clusters computing environment.

关键词： Licenses Software Monitoring Servers Scheduling Processor scheduling Resource management

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A novel unsupervised method for new word extraction

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Science China(Information Sciences) 2016年第9期59卷 11-21页

作者： Lili MEI Heyan HUANG Xiaochi WEI Xianling MAO Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications Department of Computer Science and TechnologyBeijing Institute of Technology

New words could benefit many NLP tasks such as sentence chunking and sentiment analysis. However, automatic new word extraction is a challenging task because new words usually have no fixed language pattern, and even appear with the new meanings of existing words. To tackle these problems, this paper proposes a novel method to extract new words. It not only considers domain specificity, but also combines with multiple statistical language knowledge. First, we perform a filtering algorithm to obtain a candidate list of new words. Then, we employ the statistical language knowledge to extract the top ranked new words. Experimental results show that our proposed method is able to extract a large number of new words both in Chinese and English corpus, and notably outperforms the state-of-the-art methods. Moreover, we also demonstrate our method increases the accuracy of Chinese word segmentation by 10% on corpus containing new words.

关键词： new word extraction word segmentation domain specificity statistical language knowledge domain word extraction

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Quantum photonic network on chip

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Chinese Physics B 2018年第5期27卷 59-73页

作者： Qun-Yong Zhang Ping Xu Shi-Ning Zhu National Laboratory of Solid State Microstructures and School of Physics Nanjing University Nanjing 210093 China Institute for Quantum Information and State Key Laboratory of High Performance Computing College of Computing National University of Defense Technology Changsha 410073 China

We provide an overview of quantum photonic network on chip. We begin from the discussion of the pros and cons of several material platforms for engineering quantum photonic chips. Then we introduce and analyze the basic building blocks and functional units of quantum photonic integrated circuits. In the main part of this review, we focus on the generation and manipulation of quantum states of light on chip and are particularly interested in some applications of advanced integrated circuits with different functionalities for quantum information processing, including quantum communication, quantum computing, and quantum simulation. We emphasize that developing fully integrated quantum photonic chip which contains sources of quantum light, integrate circuits, modulators, quantum storage, and detectors are promising approaches for future quantum photonic technologies. Recent achievements in the large scale photonic chips for linear optical computing are also included. Finally, we illustrate the challenges toward high performance quantum information processing devices and conclude with promising perspectives in this field.

关键词： quantum photonic chip entanglement production and manipulation quantum communication quantum computing

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Balanced parallel FP-growth with mapreduce

Balanced parallel FP-growth with mapreduce

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2010 IEEE Youth Conference on Information, computing and Telecommunications, YC-ICT 2010

作者： Zhou, Le Zhong, Zhiyong Chang, Jin Li, Junjie Zhexue, Joshua Feng, Shengzhong Center for High Performance Computing Institute of Advanced Computing and Digital Engineering Chinese Academy of Sciences China

ISBN: (纸本)9781424488841

Frequent itemset mining (FIM) plays an essential role in mining associations, correlations and many other important data mining tasks. Unfortunately, as the volume of dataset gets larger day by day, most of the FIM algorithms in literature become ineffective due to either too huge resource requirement or too much communication cost. In this paper, we propose a balanced parallel FP-Growth algorithm BPFP, based on the PFP algorithm [1], which parallelizes FP-Growth in the MapReduce approach. BPFP adds into PFP load balance feature, which improves parallelization and thereby improves performance. Through empirical study, BPFP outperformed the PFP which uses some simple grouping strategy. © 2010 IEEE.

关键词： MapReduce

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Heterogeneous by design: An environment for exploiting heterogeneity 7

Heterogeneous by design: An environment for exploiting heter...

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1993 Workshop on Heterogeneous Processing, VVHP 1993, Held in conjunction with the 7th International Parallel Processing Symposium

作者： LaRowe, Richard P. Probert, Thomas H. Center for High Performance Computing Worcester Polytechnic Institute United States

ISBN: (纸本)0818635312

Heterogeneity in computing environments is becoming increasingly common. Some consider this a problem, while others (including ourselves) prefer to think of it as a benefit. By exploiting the different features and capabilities of computer nodes in a heterogeneous computing network, higher levels of performance can be attained than is possible using any single type of computer found in the network. In this paper, we present the preliminary design of a heterogeneous computing environment being developed at CHPC. The environment includes a high-speed interconnection architecture capable of supporting shared memory, as well as a new programming environment for developing heterogeneous applications that exploit the available hardware. © 1993 IEEE.

关键词： Computer programming

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