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Exploiting contention and congestion aware switch allocation in network-on-chips 17

Exploiting contention and congestion aware switch allocation...

引用

50th ACM Turing Conference - China, ACM TUR-C 2017

作者： Li, Cunlu Dongy, Dezun Liao, Xiangke National Laboratory for Parallel and Distributed Processing Collaborative Innovation Center of High Performance Computing College of Computer National University of Defense Technology Changsha Hunan410073 China

ISBN: (纸本)9781450348737

Network-on-chip system plays an important role to improve the performance of chip multiprocessor systems. As the complexity of the network increases, congestion problem has become the major performance bottleneck and seriously influence the performance of NoCs. Prior works have focused on designing effective routing algorithm based on collecting congestion and contention information to load balance the traffic. However, most prior works do not consider balancing the traffic load during switch allocation. Due to the lack of congestion information in switch allocation stage, switch allocator performs allocation only based on packet requests and thus aggravates the congestion in the ports of switch. In this paper, we propose to add the congestion and contention information into the switch allocation process and design an efficient on-chip switching strategy which utilizes the contention and congestion information to load balance the traffic and achieve efficient switch allocation. To further enhance the performance of our design, we carefully design our switch allocation strategy to balance the trade-off between traffic load balance and the matching efficiency in switch allocation. We evaluate our design under synthetic traffic and trace of parsec benchmarks. Our evaluations show this mechanism achieves optimal latency compared to best previous switch allocation strategies. © 2017 ACM.

关键词： Network-on-chip

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Bipartite-oriented distributed graph partitioning for big learning 14

Bipartite-oriented distributed graph partitioning for big le...

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5th ACM Asia-Pacific Workshop on Systems, APSYS 2014

作者： Chen, Rong Shi, Jiaxin Zang, Binyu Guan, Haibing Shanghai Key Laboratory of Scalable Computing and Systems Institute of Parallel and Distributed Systems Shanghai Jiao Tong University China Shanghai Key Laboratory of Scalable Computing and Systems Department of Computer Science Shanghai Jiao Tong University China

ISBN: (纸本)9781450330244

Many machine learning and data mining (MLDM) problems like recommendation, topic modeling and medical diagnosis can be modeled as computing on bipartite graphs. However, most distributed graph-parallel systems are oblivious to the unique characteristics in such graphs and existing online graph partitioning algorithms usually causes excessive replication of vertices as well as significant pressure on network communication. This article identifies the challenges and opportunities of partitioning bipartite graphs for distributed MLDM processing and proposes BiGraph, a set of bipartite-oriented graph partitioning algorithms. BiGraph leverages observations such as the skewed distribution of vertices, discriminated computation load and imbalanced data sizes between the two subsets of vertices to derive a set of optimal graph partition algorithms that result in minimal vertex replication and network communication. BiGraph has been implemented on PowerGraph and is shown to have a performance boost up to 17.75X (from 1.38X) for four typical MLDM algorithms, due to reducing up to 62% vertex replication, and up to 96% network traffic. © 2014 ACM.

关键词： Data mining

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DMSA: Decentralized and Multi-keyword Selective Data Sharing and Acquisition 22

DMSA: Decentralized and Multi-keyword Selective Data Sharing...

引用

22nd IEEE International Symposium on parallel and distributed Processing with Applications, ISPA 2024

作者： Lin, Moheng Shi, Peichang Fu, Xiang Jiang, Feng Yi, Guodong National University of Defense Technology National Key Laboratory of Parallel and Distributed Computing College of Computer Science Changsha410073 China Xiangjiang Lab Changsha410073 China

ISBN: (纸本)9798331509712

Blockchain technology has been extensively uti-lized in decentralized data-sharing applications, with the immutability of blockchain providing a witness for the circulation of data. However, current blockchain data-sharing solutions still fail to address the simultaneous screening needs of both the sender and receiver with multi-keywords. Without the capability to support bilateral simultaneous filtering, the disclosure of reasons for matching failures could inadvertently expose sensitive user data. Therefore, the challenge lies in enabling ciphertexts with multiple keywords and receivers with multiple interests to achieve mutual and simultaneous matching. Based on the technical foundations of SE (Searchable Encryption), MABE (Multi-Attribute Based Encryption), and polynomial fitting, this paper proposes a scheme called DMSA (Decentralized and Multi-keyword selective Sharing and selective Acquisition). This scheme can satisfy soundness, enabling ciphertexts carrying multiple keywords and receivers representing multiple interests to match each other simultaneously. We conducted a security analysis that confirms the security of DMSA against chosen-plaintext attacks. Our experimental results demonstrate a significant efficiency improvement, with a 67% increase over single-keyword data-sharing schemes and a 16% enhancement compared to the existing multi-keyword data-sharing solution. © 2024 IEEE.

关键词： Ciphertext

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A Java graphical user interface for large-scale scientific computations in distributed systems 4

A Java graphical user interface for large-scale scientific c...

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4th International Conference/Exhibition on High Performance computing in the Asia-Pacific Region, HPC-Asia 2000

作者： Shen, X. Thiruvathukal, G. Liao, W. Choudhary, A. Singh, A. Center for Parallel and Distributed Computing Department of Electrical and Computer Engineering Northwestern University EvanstonIL60208 United States School of Computing Telecommunications and Information Sciences JHPC Laboratory DePaul University United States

ISBN: (纸本)0769505902

Large-scale scientific applications present great challenges to computational scientists in terms of obtaining high performance and in managing large datasets. These applications (most of which are simulations) may employ multiple techniques and resources in a heterogeneously distributed environment. Effective working in such an environment is crucial for modern large-scale simulations. In this paper, we present an integrated Java graphical user interface (IJ-GUI) that provides a control platform for managing complex programs and their large datasets easily. As far as performance is concerned, we present and evaluate our initial implementation of two optimization schemes: data replication and data prediction. Data replication can take advantage of 'temporal locality' by caching the remote datasets on local disks;data prediction, on the other hand, provides prefetch hints based on the datasets' past activities that are kept in databases. We first introduce the data contiguity concept in such an environment that guides data prediction. The relationship between the two approaches is discussed. © 2000 IEEE.

关键词： Forecasting

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Towards an agent oriented programming language with caste and scenario mechanisms

Towards an agent oriented programming language with caste an...

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4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05

作者： Wang, Ji Shen, Rui Zhu, Hong National Laboratory for Parallel and Distributed Processing Changsha 410073 China Department of Computing Oxford Brookes University Oxford OX33 1HX United Kingdom

The paper presents an agent-oriented programming language SLABSp. It provides caste and scenario mechanisms in a coherent way to support the caste-centric methodology of agent-oriented software development. It uses caste as a modular facility to organize agents into castes and to represent their structure and behavior characteristics. SLABSp also uses scenarios to define agents' behaviors in the context of environment situations. In the paper, the implementation of the language is briefly described. An example of the program is given to illustrate its programming style. Copyright 2005 ACM.

关键词： Computer programming languages

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The visual query language for an object-oriented knowledge-based system

The visual query language for an object-oriented knowledge-b...

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1999 International Symposium on Database Applications in Non-Traditional Environments, DANTE 1999

作者： Xu, Ming Wang, Yong-Jun Wang, Yi-Jie Zhang, Kang Zhang, Yanchim National Laboratory for Parallel and Distributed Processing Changsha Hunan410073 China Dept.of Computing Mac Quart e University Sydney Australia University of Southern Queensland Depi of Mathematics and Computing Toowoomba Australia

ISBN: (纸本)0769504965

The user interface of the object-oriented knowledge-based system CAOBS/v1.2 is a visual query subsystem consisting of a flexible visual query language (VKQL), and a knowledge base browser/*** the visual language, the user can express query requirements by constructing query *** absorbs the key features of some existing visual query languages, and adds more advanced *** paper presents the design and implementation of VKQL and compares VKQL with other similar query languages. © 2000 IEEE.

关键词： Knowledge based systems

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CCN hotspot cache placement strategy based on genetic algorithm 10th

CCN hotspot cache placement strategy based on genetic algori...

引用

10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage, SpaCCS 2017

作者： Wu, Hongjia Wang, Nao Wang, Gaocai School of Computer and Electronic Information Guangxi University NanningGuangxi533004 China Guangxi Colleges and University Key Laboratory of Parallel and Distributed Computing Technology Nanning530004 China

ISBN: (纸本)9783319723945

Content-centric networks provide effective support for content services through a caching mechanism, so the caching of the placement strategy has become a hot research. In this paper, the problem of content placement in CCN is taken as the starting point, focusing on the allocation of caching resources for district partitioning according to the number of users given the content of predictable hotspots. When the hot topic breaks out, the first to the user from the content of the nearest as the goal, from the user’s point of view as its characteristics, nested using improved genetic algorithms to select hotspot cache placement points, and a CCN hotspot cache placement strategy based on genetic algorithm is proposed. In the simulation experiment, the cache placement strategy proposed in this paper is compared with other traditional strategies in network performance. The simulation results show that the strategy can effectively reduce the access hops and average access latency, reduce the server load and improve the user satisfaction. © Springer International Publishing AG 2017.

关键词： Genetic algorithms

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Enhancing Resolution of Inferring Hi-C Data Integrating U-Net and ResNet Networks 23rd

Enhancing Resolution of Inferring Hi-C Data Integrating U-Ne...

引用

23rd International Conference on parallel and distributed computing, Applications, and Technologies, PDCAT 2022

作者： Zhao, Fengjiao Li, Na Zhong, Cheng School of Computer Electronics and Information Guangxi University Guangxi Nanning530004 China Key Laboratory of Parallel and Distributed Computing Technology in Guangxi Universities Guangxi Nanning530004 China

ISBN: (纸本)9783031299261

The Hi-C data is the basis of three-dimensional chromosome structure reconstruction. In this paper, a method integrating U-Net and ResNET network is proposed to infer high resolution Hi-C data from existing low-resolution Hi-C data. Firstly, the U-Net is used as the backbone network to make full use of the shallow layer details and deep layer essential features of Hi-C data. Secondly, the residual module is introduced into the coding path and decoding path of the network to increase the depth of the model and prevent network degradation. Finally, the down sampling is used to reduce the calculation amount to decrease the required running time for the network model. The experimental results on real datasets showed that the proposed method had better performance than existing methods, and the inferred high resolution Hi-C data was closer to the real Hi-C data. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Chromosomes

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Efficient detection of dangling pointer error for C/C++ programs 2

Efficient detection of dangling pointer error for C/C++ prog...

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2nd Annual International Conference on Information System and Artificial Intelligence, ISAI 2017

作者： Zhang, Wenzhe Science and Technology on Parallel and Distributed Laboratory State Key Laboratory of High Performance Computing State Key Laboratory of High-end Server and Storage Technology College of Computer National University of Defense Technology Changsha China

Dangling pointer error is pervasive in C/C++ programs and it is very hard to detect. This paper introduces an efficient detector to detect dangling pointer error in C/C++ programs. By selectively leave some memory accesses unmonitored, our method could reduce the memory monitoring overhead and thus achieves better performance over previous methods. Experiments show that our method could achieve an average speed up of 9% over previous compiler instrumentation based method and more than 50% over previous page protection based method. © Published under licence by IOP Publishing Ltd.

关键词： Errors

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An improved pre-copy transmission algorithm in mobile cloud computing 1

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10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage, SpaCCS 2017

作者： Huang, Xianfei Wang, Nao Wang, Gaocai School of Computer and Electronic Information Guangxi University NanningGuangxi530004 China Guangxi Colleges and University Key Laboratory of Parallel and Distributed Computing Technology Nanning530004 China

ISBN: (数字)9783319723891

ISBN: (纸本)9783319723884

With the rapidly development of mobile cloud computing, in order to provide a better experience for mobile users, the computing and storage functions of mobile terminals are migrated to the cloud. In the application research of virtual machine migration, the transmission rate of wireless channel will changed with the changes of network condition. This paper focuses on the pre-copy transmission algorithm in the process of virtual machine migration in mobile cloud computing. A pre-copy transmission algorithm based on optimal stopping theory (PTAOST) was proposed, the algorithm constructs an optimal stopping problem based on an optimal transmission rate in the process of virtual machine migration. And we solve the model by using the optimal stopping theory, and get an optimal transfer rate. So the total amount of data and migration time is reduced during the process of virtual machine migration. In simulations, the PTAOST is compared with the transmission algorithms offered by some literatures, and we obtained some comparable results about the total migration data and total migration time to different transmission algorithms. The simulative results show that the proposed algorithm has less the total amount of migration data and total time of migration and improves the performance of migration. © 2017, Springer International Publishing AG.

关键词： Mobile cloud computing

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