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检索条件"任意字段=10th IFIP International Conference on Network and Parallel Computing, NPC 2013"

共 71 条记录，以下是11-20 订阅

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Adaptive Length Sliding Window-Based network Coding for Energy Efficient Algorithm in MANETs 1

引用

14th ifip WG 10.3 international conference on network and parallel computing (npc)

作者： Sun, Baolin Gui, Chao Song, Ying Chen, Hua Hubei Univ Econ Sch Informat & Engn Wuhan 430205 Hubei Peoples R China Wuhan Technol & Business Univ Dept Publ Basic Course Wuhan 430065 Hubei Peoples R China

ISBN: (数字)9783319682105

ISBN: (纸本)9783319682105;9783319682099

A key problem in network coding (NC) lies in the complexity and energy consumption associated with the packet decoding processes, which hinder its application in mobile ad hoc networks (MANETs). Sliding-window network Coding is a variation of NC that is an addition to TCP/IP and improves the throughput of TCP on MANETs. In this paper, we propose an Adaptive Length Sliding Window-based network Coding for Energy Efficient algorithm in MANETs (ALSW-NCEE). the performance of this ALSW-NCEE is studied using NS2 and evaluated in terms of the network throughput, encoding overhead, energy consumption, and energy efficiency when packet is transmitted. the simulations result shows that the ALSW-NCEE with our proposition can significantly improve the network throughput and achieves higher diversity order.

关键词： MANET Sliding window network coding Energy efficient

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Regional Congestion Mitigation in Lossless Datacenter networks 1

引用

14th ifip WG 10.3 international conference on network and parallel computing (npc)

作者： Liu, Xiaoli Yang, Fan Jin, Yanan Wang, Zhan Cao, Zheng Sun, Ninghui Chinese Acad Sci Inst Comp Technol State Key Lab Comp Architecture Beijing Peoples R China Univ Chinese Acad Sci Inst Comp & Control Engn Beijing Peoples R China

ISBN: (数字)9783319682105

ISBN: (纸本)9783319682105;9783319682099

To stop harmful congestion spreading, lossless network needs much faster congestion detection and reaction than the end-to-end approach. In this paper, we propose a switch-level regional congestion mitigation mechanism (RCM) that performs traffic management just at the congestion region edge. RCM moves the end-to-end congestion control to hop-by-hop switch level to lower the congested region's load as fast as possible. Meanwhile, to handle longer congestion, RCM detours the non-congestion flows to a light-loaded available path based on regional congestion degree to avoid the congestion region. Evaluation shows that the proposed RCM mechanism can perform timely congestion control over microburst flows, and achieve > 10% improvement on mice flow's FCT and throughput than DCQCN, with rarely performance reduction on elephant flows.

关键词： Lossless datacenter network Congestion control Adaptive routing

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An In-Depth Performance Analysis of Many-Integrated Core for Communication Efficient Heterogeneous computing 1

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14th ifip WG 10.3 international conference on network and parallel computing (npc)

作者： Zhang, Jie Jung, Myoungsoo Yonsei Univ Sch Integrated Technol Comp Architecture & Memory Syst Lab Seoul South Korea

ISBN: (数字)9783319682105

ISBN: (纸本)9783319682105;9783319682099

Many-integrated core (MIC) architecture combines dozens of reduced x86 cores onto a single chip to offer high degrees of parallelism. the parallel user applications executed across many cores that exist in one or more MICs require a series of work related to data sharing and synchronization with the host. In this work, we build a real CPU+MIC heterogeneous cluster and analyze its performance behaviors by examining different communication methods such as message passing method and remote direct memory accesses. Our evaluation results and in-depth studies reveal that (i) aggregating small messages can improve network bandwidth without violating latency restrictions, (ii) while MICs can execute hundreds of hardware cores, the highest network throughput is achieved when only 4 similar to 6 point-to-point connections are established for data communication, (iii) data communication over multiple point-to-point connections between host and MICs introduce severe load unbalancing, which require to be optimized for future heterogeneous computing.

关键词： Manycore Communication Accelerator parallel programming High performance computing Heterogeneous computing

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Optimizing OpenCL Implementation of Deep Convolutional Neural network on FPGA 1

引用

14th ifip WG 10.3 international conference on network and parallel computing (npc)

作者： Qiao, Yuran Shen, Junzhong Huang, Dafei Yang, Qianming Wen, Mei Zhang, Chunyuan Natl Univ Def Technol Coll Comp Natl Key Lab Parallel & Distributed Proc Changsha Hunan Peoples R China

ISBN: (数字)9783319682105

ISBN: (纸本)9783319682105;9783319682099

Nowadays, the rapid growth of data across the Internet has provided sufficient labeled data to train deep structured artificial neural networks. While deeper structured networks bring about significant precision gains in many applications, they also pose an urgent demand for higher computation capacity at the expense of power consumption. To this end, various FPGA based deep neural network accelerators are proposed for higher performance and lower energy consumption. However, as a dilemma, the development cycle of FPGA application is much longer than that of CPU and GPU. Although FPGA vendors such as Altera and Xilinx have released OpenCL framework to ease the programming, tuning the OpenCL codes for desirable performance on FPGAs is still challenging. In this paper, we look into the OpenCL implementation of Convolutional Neural network (CNN) on FPGA. By analysing the execution manners of a CPU/GPU oriented verision on FPGA, we find out the causes of performance difference between FPGA and CPU/GPU and locate the performance bottlenecks. According to our analysis, we put forward a corresponding optimization method focusing on external memory transfers. We implement a prototype system on an Altera Stratix V A7 FPGA, which brings a considerable 4.76x speed up to the original version. To the best of our knowledge, this implementation outperforms most of the previous OpenCL implementations on FPGA by a large margin.

关键词： Field programmable gate arrays (FPGA)

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A Virtual Machine Migration Algorithm Based on Group Selection in Cloud Data Center 1

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14th ifip WG 10.3 international conference on network and parallel computing (npc)

作者： Guo, Zhen Yao, Wenbin Wang, Dongbin Beijing Key Lab Intelligent Telecommun Software & Beijing Peoples R China Natl Engn Lab Mobile Network Secur Beijing Peoples R China Beijing Univ Posts & Telecommun Beijing 100876 Peoples R China

ISBN: (数字)9783319682105

ISBN: (纸本)9783319682105;9783319682099

Live migration of virtual machine (VM) is a promising technology that helps physical machines (PMs) adapt to load changes and guarantees Quality of Service (QoS) in cloud data center. Many individual- based VM migration studies ignore the association between VMs, resulting in high communication cost. Some research on multiple VMs migration migrates the VM group as a whole, which is likely to result in ineffective migration and increase the network burden. In this paper, a VM migration algorithm based on group selection (VMMAGS) is proposed, which takes into account the migration cost, communication cost, and VM heat to optimize migration performance. the appropriate VM groups are selected as migration options, and the optimal migration scheme is obtained according to the integration cost of partitions of selected VM groups. Extensive experiments show that our algorithm can effectively reduce the migration cost and communication cost, improve the system reliability compared with other related algorithms.

关键词： Virtual machine

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Automated Testing of Definition-Use Data Flow for Multithreaded Programs 10

Automated Testing of Definition-Use Data Flow for Multithrea...

引用

10th IEEE international conference on Software Testing, Verification and Validation (ICSTW)

作者： Zhang, Xiaodong Yang, Zijiang Zheng, Qinghua Liu, Pei Chang, Jialiang Hao, Yu Liu, Ting Xi An Jiao Tong Univ Minist Educ Key Lab Intelligent Networks & Network Secur Xian 710000 Shaanxi Peoples R China Western Michigan Univ Dept Comp Sci Kalamazoo MI 49008 USA

ISBN: (纸本)9781509060313

With the advent of multicore processors, there is a trend towards multithreading to take advantage of parallel computing resources. Due to greatly increased complexity, programmers need effective testing methodology that can thoroughly test multithreaded programs. there has been significant progress based on symbolic execution that attempts to exhaustively explore all the intra-thread paths and inter-thread interleavings. However, such testing approach faces two insuperable challenges. Firstly, exploring an astronomically large number of paths and interleavings limits its scalability. Secondly, a path itself does not directly help programmers understand program behavior. In this paper, we propose an alternate testing methodology that focuses on definition-use data flow instead of paths/interleavings. Such approach not only leads to orders of magnitude reduction in testing complexity, but also gives programmers direct help on examining the shared variable usage in a multithreaded program.

关键词： Multithreaded Program Symbolic Analysis Guided Execution Definition-Use

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Toward a parallel Turing Machine Model 13th

Toward a Parallel Turing Machine Model

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13th ifip WG 10.3 international conference on network and parallel computing (npc)

作者： Qu, Peng Yan, Jin Gao, Guang R. Tsinghua Univ Beijing Peoples R China Univ Delaware Newark DE 19716 USA

ISBN: (纸本)9783319470993;9783319470986

In the field of parallel computing, the late leader Ken Kennedy, has raised a concern in early 1990s: "Is parallel computing Dead?" Now, we have witnessed the tremendous momentum of the "second spring" of parallel computing in recent years. But, what lesson should we learn from the history of parallel computing when we are walking out from the bottom state of the field? To this end, this paper examines the disappointing state of the work in parallel Turing machine models in the past 50 years of parallel computing research. Lacking a solid yet intuitive parallel Turing machine model will continue to be a serious challenge. Our paper presents an attempt to address this challenge - by presenting a proposal of a parallel Turing machine model - the PTM model. We also discuss why we start our work in this paper from a parallel Turing machine model instead of other choices.

关键词： parallel Turing machine Codelet Abstract architecture parallel computing

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Multipath Load Balancing in SDN/OSPF Hybrid network 13th

Multipath Load Balancing in SDN/OSPF Hybrid Network

引用

13th ifip WG 10.3 international conference on network and parallel computing (npc)

作者： Sun, Xiangshan Jia, Zhiping Zhao, Mengying Zhang, Zhiyong Shandong Univ Sch Comp Sci & Technol Jinan Peoples R China

ISBN: (纸本)9783319470993;9783319470986

Software defined network (SDN) is an emerging network architecture that has drawn the attention of academics and industry in recent years. Affected by investment protection, risk control and other factors, the full deployment of SDN will not be finished in the short term, thus it results into a coexistence state of traditional IP network and SDN which is named hybrid SDN. In this paper, we formulate the SDN controller's optimization problem for load balancing as a mathematical model. then we propose a routing algorithm Dijkstra-Repeat in SDN nodes which can offer disjoint multipath routing. To make it computationally feasible for large scale networks, we develop a new Fast Fully Polynomial Time Approximation Schemes (FPTAS) based Lazy Routing Update (LRU).

关键词： network architecture

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DSS: A Scalable and Efficient Stratified Sampling Algorithm for Large-Scale Datasets 13th

DSS: A Scalable and Efficient Stratified Sampling Algorithm ...

引用

13th ifip WG 10.3 international conference on network and parallel computing (npc)

作者： Li, Minne Li, Dongsheng Shen, Siqi Zhang, Zhaoning Lu, Xicheng Natl Univ Def Technol Natl Lab Parallel & Distributed Proc Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9783319470993;9783319470986

Statistical analysis of aggregated records is widely used in various domains such as market research, sociological investigation and network analysis, etc. Stratified sampling (SS), which samples the population divided into distinct groups separately, is preferred in the practice for its high effectiveness and accuracy. In this paper, we propose a scalable and efficient algorithm named DSS, for SS to process large datasets. DSS executes all the sampling operations in parallel by calculating the exact subsample size for each partition according to the data distribution. We implement DSS on Spark, a big-data processing system, and we show through large-scale experiments that it can achieve lower data-transmission cost and higher efficiency than state-of-the-art methods with high sample representativeness.

关键词： Stratified sampling Aggregation Distributed processing Spark

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FCM: A Fine-Grained Crowdsourcing Model Based on Ontology in Crowd-Sensing 13th

FCM: A Fine-Grained Crowdsourcing Model Based on Ontology in...

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13th ifip WG 10.3 international conference on network and parallel computing (npc)

作者： An, Jian Wu, Ruobiao Xiang, Lele Gui, Xiaolin Peng, Zhenlong Xi An Jiao Tong Univ Sch Elect & Informat Engn 28 Xianning West Rd Xian 710049 Peoples R China Shaanxi Prov Key Lab Comp Network 28 Xianning West Rd Xian 710049 Peoples R China Quanzhou Normal Univ Sch Business & Informat Technol Donghai 362000 Quanzhou Peoples R China

ISBN: (纸本)9783319470993;9783319470986

Crowd sensing between users with smart mobile devices is a new trend of development in Internet. In order to recommend the suitable service providers for crowd sensing requests, this paper presents a Fine-grained Crowd-sourcing Model (FCM) based on Ontology theory that helps users to select appropriate service providers. First, the characteristic properties which extracted from the service request will be compared with the service provider based on ontology triple. Second, recommendation index of each service provider is calculated through similarity analysis and cluster analysis. Finally, the service decision tree is proposed to predict and recommend appropriate candidate users to participate in crowd sensing service. Experimental results show that this method provides more accurate recommendation than present recommendation systems and consumes less time to find the service provider through clustering algorithm.

关键词： Crowdsourcing

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