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international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Lijuan Wang Jinping Xing Ming Yin Xinxuan Huang School of Computer Science and Technology Guangdong University of Technology China

ISBN: (纸本)9781665496407

Some existing multi-view spectral clustering methods calculate a fixed similarity matrix. However, the fixed similarity is hard to reflect comprehensive and correct relationship between data points and may not be optimal for learning sample embedding, leading to the suboptimal result. In this paper, we propose a novel multi-view spectral clustering (MSCAN) algorithm to address these issues. Specifically, the proposed algorithm generates the dynamic similarity matrix with adaptive neighbors for each view instead of using the fixed similarity matrix. It enhances the representative capacity of the similarity matrix and accuracy of the sample embedding. Meanwhile, the knowlege trnasfer is imposed to the sample embedding for all view, such that the sample embedding learns shared information betwwen the feature embeddings to keep consistency. Additionally, the feature embedding of each view learns from the shared sample embedding to obtian complementary information. An alternating iterative optimization algorithm is presented to optimize the objective function. Experimental results on several benchmark databases show the superior performance compared to the previous state-of-the-arts.

关键词： Databases Heuristic algorithms Clustering methods Clustering algorithms programming Data structures Linear programming

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Design of efficient reconfigurable networks

Design of efficient reconfigurable networks

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international symposium on parallel Processing

作者： A.K. Somani Department of Electrical Engineering and Department of Computer Science and Engineering University of Washington Seattle WA USA

The author presents a methodology to design an efficient communication reconfigurable network of processor using a circuit switching environment. He assumes that the operation is synchronous and reconfigurations occur at pre-specified times. This network is based on two architectural concepts, the generalized folding cube and the enhanced hypercube architectures. The author demonstrates the effectiveness, versatility, and flexibility of his approach.< >

关键词： Costs Hypercubes Computer architecture parallel processing Computer networks Switching circuits Partitioning algorithms Delay Routing Network topology

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Energy-aware Preprocessing for Distributed Training in D2D Edge Network with Non-iid Data

Energy-aware Preprocessing for Distributed Training in D2D E...

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international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Jiaxin Wu Jigang Wu Long Chen Yifei Sun School of Computer Science and Technology Guangdong University of Technology Guangzhou China

ISBN: (纸本)9781665496407

Inherent non-iid characteristic of heterogeneous devices' local dataset slows down the model training process and decreases the training accuracy. To tackle this problem, we propose a dataset reconstruction scheme to transform training device's non-iid dataset into iid dataset via data exchange among trusted devices. Two data exchange modes are proposed to serve the scheme. Considering the transmission overhead, we formulate an optimization problem named NORS to minimize the total energy consumption of devices. We then design an approximation algorithm named X-GTR to obtain a near-optimal auxiliary devices set for dataset reconstruction, while meeting the variance constraint of NORS. For comparison, we propose a baseline algorithm that randomly selects auxiliary devices for dataset reconstruction. Numerical results show that, with the total number of devices increasing, our proposed algorithm outperforms baseline algorithm on reducing energy consumption.

关键词： Training Energy consumption Simulation Distributed databases Transforms programming Approximation algorithms

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The MULTIPLUS/MULPLIX parallel processing environment

The MULTIPLUS/MULPLIX parallel processing environment

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international symposium on parallel architectures, algorithms and Networks (ISPAN)

作者： J.S. Aude A.M. Meslin C.M.P. Santos G. Bronstein L.F.M. Cordeiro M.O. Barros M. Joao S.C. Oliveira NCE/UFRJ Federal University of Rio de Janeiro Rio de Janeiro Rio de Janeiro Brazil NCE/UFRJ Federal Univ. of Rio de Janeiro Brazil

The MULTIPLUS project aims at the development of a modular parallel architecture suitable for the study of several aspects of parallelism in both true shared memory and virtual shared memory environments. The MULTIPLUS architecture is able to support up to 1024 Processing Elements based on SPARC microprocessors. The MULPLIX Unix-like operating system offers a suitable parallel programming environment for the MULTIPLUS architecture by providing facilities for the creation of threads, the allocation of private and shared memory space and the efficient use of synchronization primitives. After presenting the main features of the MULTIPLUS architecture and of the MULPLIX operating system, the paper describes in detail the design and the implementation of the three MULTIPLUS architecture basic hardware modules: the Processing Element, the Multistage Interconnection Network and the I/O Processor. In addition, the definition of the MULPLIX parallel programming primitives is discussed and their use is illustrated through an example. Finally, future directions in the development of the MULTIPLUS research project are commented.

关键词： parallel processing Computer architecture Operating systems parallel programming Multiprocessor interconnection networks Concurrent computing parallel architectures Microprocessors Yarn Hardware

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Vertex-Disjoint Paths in BCDC Networks

Vertex-Disjoint Paths in BCDC Networks

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international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Xi Wang Jianxi Fan Suzhou Institute of Industrial Technology Suzhou China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun P.R. China School of Computer Science and Technology Soochow University Suzhou China

ISBN: (纸本)9781665496407

For any integer $n\geq 2,\ B_{n}$ , the $n$ -dimensional BCDC network, based on a class of BC networks, crossed cube, is a server-centric and high-performance data center network for mega data centers with manageable cabling complexity. Implementing vertex-disjoint paths has great value of application in fault-tolerance and multi-path routing of data center networks. In this paper, we construct $n$ vertex-disjoint paths joining every two distinct vertices in $B_{n}$ , whose maximum length is limited by $\lceil\frac{n}{2}\rceil+5$ , where the diameter of $B_{n}$ is $\lceil\frac{n+1}{2}\rceil+1$ . Our results are fundamental and essential for fault-tolerance and multi-path routing in BCDC networks.

关键词： Data centers Fault tolerance Fault tolerant systems programming Routing parallel architectures Complexity theory

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Multi-selection Attention for Multimodal Aspect-level Sentiment Classification

Multi-selection Attention for Multimodal Aspect-level Sentim...

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international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Yuqing Miao Ronghai Luo Tonglai Liu Wanzhen Zhang Guoyong Cai Ming Zhou School of Computer Science and Information Security Guilin University of Electronic Technology Guilin China College of Information Science and Technology Zhongkai University of Agriculture and Engineering Guangzhou China Guilin Hivision Technology Company Guilin China

ISBN: (纸本)9781665452199

Multimodal aspect-level sentiment classification aims to utilize images to recognize the sentiment polarity of target aspects in text. To address the issues of low utilization of inter-modal complementary information and vanishing gradients, a multimodal aspect-level sentiment based on multi-selection attention mechanism is proposed. Multi-selection attention mechanism explicitly considers the contribution of different modalities to aspects and utilizes shared features and private features of image modality to enhance sentiment expression of target aspects. On this basis, inspired by residual connections in ResNet and encoder-decoders in U-Net, a simple and effective residual encoder-decoder is proposed to mine deep information and avoid vanishing gradients. The experimental results on two public sentiment datasets show that the proposed model can better utilize images to supplement textual modality and improve the accuracy of sentiment classification.

关键词： Deep learning Image recognition Text recognition Target recognition Bit error rate programming parallel architectures

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Space optimal packet classification for 2D conflict-free filters

Space optimal packet classification for 2D conflict-free fil...

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international symposium on parallel architectures, algorithms and Networks (ISPAN)

作者： Chung Keung Poon Andy Kwok Department of Computer Science City University of Hong Kong Hong Kong China

ISBN: (纸本)0769521355

In this paper, we study the 2D packet classification problem for a set of conflict-free filters in an IP network. We design a linear space data structure with O(min{logiu loglogn, /spl radic/lognloglogn}) query time where n is the number of filters in the router and w is the number of bits in an IP address. This is the first optimal space data structure with poly-logarithmic query time for this problem. Our technique can also be extended to solve the binary dispatching problem in object-oriented programming.

关键词： Matched filters Computer science Data structures IP networks Nonlinear filters Dispatching Object oriented programming Routing Councils Cryptography

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Java internet computing environment with effective configuration method

Proceedings of the International Symposium on Parallel Archi...

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Proceedings of the international symposium on parallel architectures, algorithms and Networks, I-SPAN 1999年 42-47页

作者： Chung, Chun-Mok Shin, Pil-Sup Kim, Shin-Dug LG Information & Communications Ltd Seoul Korea Republic of

For an effective Internet-based distributed parallel computing platform, Java-Internet Computing Environment (JICE) is designed and implemented with multithreading and remote method invocation mechanisms provided in Java. Specifically, JICE supports a shared memory system model for communication between any two nodes. Under the JICE, communication time is a major candidate of performance bottleneck. To reduce this communication overhead, a method of grouping is designed based on the optimal communication time. Communication performance given by grouping is evaluated through the analysis of execution time and verified via experiments. The results show that communication time can be reduced about 80% from executing some Java benchmarks on JICE.

关键词： Java programming language

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BSP pro: Java-based BSP performance profiling system

Proceedings of the International Symposium on Parallel Archi...

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Proceedings of the international symposium on parallel architectures, algorithms and Networks, I-SPAN 1999年 54-59页

作者： Zheng, Weiqun Khan, Shamim Xie, Hong Murdoch Univ Perth

This paper introduces a new parallel performance profiling system for the Bulk Synchronous parallel (BSP) model. The profiling system, called BSP Pro, consists of a performance profiling tool, BSP Profiler, and a performance visualisation tool, BSP Visualiser. The aim of BSP Pro is to assist in the analysis and improvement of BSP program performance by minimising load imbalance among processes. BSP Pro is different from other systems, such as the profiling tools within the Oxford BSP toolset, in terms of both its features and its implementation. It uses BSP Profiler to trace and generate more comprehensive profiling information resulting from BSP program executions. The profiling information is then visualised and shown as performance profiling graphs using BSP Visualiser. The visualising component of BSP Pro is fully developed in Java and utilises Java graphics to expose and highlight process load imbalance in both computation and interprocess communication.

关键词： Java programming language

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Explicit parallel structuring for rule-based programming

Explicit parallel structuring for rule-based programming

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international symposium on parallel Processing

作者： S. Wu J.C. Browne Department of Computer Sciences University of Texas Austin Austin TX USA

This paper presents semantically-based explicit parallel structuring for rule-based programming systems. Explicit parallel structuring appears to be necessary since compile-time dependency analysis of sequential programs has not yielded large scale parallelism and run-time analysis for parallelism is restricted by the execution cost of the analysis. Simple language extensions specifying semantics of rules are used to define parallel execution behavior at the rule level. Type definitions for working memory elements are extended to include relationships within and among objects which define the parallelism allowed on instances of object types. The first result presented is that the algorithms implemented by commonly used benchmark rule-based programs contain scalable parallelism. The second result is that much of that parallelism can be captured by simple and modest extensions of rule-based languages which are analogies of models and constructs used for specification of parallel structures in imperative programming languages. A sketch is given for a comprehensive language system which exploits specification of semantics defining parallel structures in both object-definition and executable segments of rule-based programs.< >

关键词： parallel programming parallel processing Large-scale systems Partitioning algorithms Algorithm design and analysis Computational modeling Runtime Costs Concurrent computing Production systems

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