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检索条件"任意字段=12th IASTED International Conference on Parallel and Distributed Computing and Networks, PDCN 2014"

共 12 条记录，以下是1-10 订阅

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Proceedings of the iasted international conference on parallel and distributed computing and networks, pdcn 2014

Proceedings of the IASTED International Conference on Parall...

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12th iasted international conference on parallel and distributed computing and networks, pdcn 2014

the proceedings contain 20 papers. the topics discussed include: DRAS: fast dynamic rescheduling scheme eliminating redundant computation;comparison of table join execution time for parallel DBMS and MapReduce;GPU accelerated vessel segmentation using Laplacian eigenmaps;generating realistic network graph models for fault-tolerant algorithm evaluation;seamless multicore parallelism in MATLAB;a hierarchical library for user-defined schedulers;a computational performance investigation of Java concurrency using multi-threading on multi-cored processors;SC-FDE transmission with strong Doppler effects;on crosstalk-free BPC permutations routing in an optical variable-stage shuffle-exchange network;interpolation-based object decomposition and parallel computation method for large-scale computer-generated hologram;power-efficient load distribution in heterogeneous computing environments;and SalbNet: a self-adapting load balancing network.

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Salbnet: A Self-Adapting Load Balancing Network

Salbnet: A Self-Adapting Load Balancing Network

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12th iasted international conference on parallel and distributed computing and networks, pdcn 2014

作者： Jung, Jörg Schnor, Bettina Menski, Sebastian Institute for Computer Science University of Potsdam Potsdam Germany

Server Load Balancing (SLB) is a popular technique to build high-availability web services as offered from Google and Amazon for example. Credit based load balancing strategies have been proposed in the literature where the back end servers dynamically report a metric called Credit to the Load Balancer (LB) which reflects their current capacity. this enables the LB to adapt the load balancing strategy. the benefit of Credit based SLB has been shown by simulations, but up to now, it is not used in productive systems, since efficient implementations were missing. this paper presents the evaluation of an implementation of Credit based SLB, the so-called Self-Adapting Load Balancing Network (salbnet). We evaluate salbnet for a cluster of web servers. the measurements are done with a representative workload based on a Wikipedia trace and confirm the benefit of the self-adapting load balancing approach.

关键词： Cluster computing

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Comparison of table join execution time for parallel DBMS and MapReduce

Comparison of table join execution time for parallel DBMS an...

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12th iasted international conference on parallel and distributed computing and networks, pdcn 2014

作者： Burdakov, Aleksey V. Grigorev, Uriy A. Ploutenko, Andrey D. Bauman Moscow State Technical University 2ya Baumanskaya 5 Moscow 105005 Russia Amur State University 21 Ignatievskoe sh. Blagoveschensk Amurskaya obl. 675000 Russia

Analysis of existing research work indicates that preference for implementation of queries to structured data is given to parallel DBMS. MapReduce (MR) is perceived as supplementary to DBMS technology. We attempt to figure out behavior pattern of parallel rowstorage DBMS and MR system Hadoop on the example of Join task depending on the variation of the parameters that in other authors' experiments do not vary or differ from ours. this article presents detailed process models for table joins in the parallel row-storage DBMS and MRsystem, as well as the results of detailed calculation experiments performed on these models. the models were set up for various scalability schemes for MR (number of nodes) and DMBS (data volume in a node) and fragmentation of the joined tables by the primary key. the following parameters were varied: queried data selectivity, number of sorted resulting records and cardinality of the grouping attribute. the modeling results showed that with the increase of the stored data volume parallel DBMS starts losing against MR-system at certain thresholds.

关键词： MapReduce

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Power-efficient load distribution in heterogeneous computing environments

Power-efficient load distribution in heterogeneous computing...

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12th iasted international conference on parallel and distributed computing and networks, pdcn 2014

作者： Lenhardt, Joerg Schiffmann, Wolfram Eitschberger, Patrick Keller, Joerg Computer Architecture Group FernUniversität in Hagen Germany Parallelism and VLSI Group FernUniversität in Hagen Germany

High performance servers of heterogeneous computing environments, as can be found in data centers for cloud computing, consume immense amounts of energy even though they are usually underutilized. In times when not all computing capabilities are needed the task to be solved is how to distribute the computational load in a power-efficient manner. the question to be answered is, what load partitions should be assigned to each physical server so that all work is done with minimal energy consumption. this problem is closely related to the selection of physical servers that can be switched off completely to further reduce the power consumption. In this work, we present algorithms which calculate a power-efficient distribution of a divisible workload among multiple, heterogeneous physical servers. We assume a fully divisible load to calculate an optimized utilization of each server. Based on this distribution, an iterative process is carried out to identify servers, which can be switched off in order to further reduce the power consumption. With that information, workload (re)distribution can take place to partition appropriate subloads to the remaining servers. As before, the calculated partitioning minimizes the power consumption.

关键词： Electric power utilization

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Interpolation-based object decomposition and parallel computation method for large-scale Computer-Generated Hologram

Interpolation-based object decomposition and parallel comput...

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12th iasted international conference on parallel and distributed computing and networks, pdcn 2014

作者： Baba, Takanobu Miyata, Hiroaki Jackin, Boaz Jessie Ohkawa, Takeshi Ootsu, Kanemitsu Yokota, Takashi Hayasaki, Yoshio Yatagai, Toyohiko Center for Optical Research and Education Utsunomiya University 7-1-2 Yoto Tochigi 321-8585 Japan Department of Information Systems Science Utsunomiya University 7-1-2 Yoto Tochigi 321-8585 Japan

Computer Generated Holography (CGH) is considered a promising candidate for realizing 3D display with complete depth features. However, the realization of a largescale CGH requires a huge computation time. this paper proposes a method for decomposing an input object into sub-objects and generating sub-holograms from them utilizing interpolation. the major advantage of this method is that the generation processes become mutually independent and can be executed in parallel without communication and synchronization. After presenting the theory of interpolation method, we will show how we can implement the method on GPU using data-parallel operations. We will also show the simulation and optical reconstruction results that verify the correctness of the method. Finally, we will present the preliminary results of our experiment by using GPU.

关键词： Computer generated holography

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DRAS: Fast dynamic rescheduling scheme eliminating redundant computation

DRAS: Fast dynamic rescheduling scheme eliminating redundant...

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12th iasted international conference on parallel and distributed computing and networks, pdcn 2014

作者： Matsumoto, Masaki Ohno, Kazuhiko Suzuki, Kohei Sasaki, Takahiro Kondo, Toshio Department of Information Engineering Mie University 1577 Kurimamachiya-cho Tsu Mie 514-8507 Japan

Task scheduling is very important for efficient execution of large-scale workflows. Static scheduling schemes achieve high performance when executing workflows in stable environments. However, the scheduling costs are very high for large-scale workflows and they may perform poorly if the system performance is changed dynamically. Dynamic rescheduling schemes support the dynamic performance changes because tasks are rescheduled using algorithms from static scheduling schemes when the performance is changed. thus, better performance can be achieved in workflow applications, although the scheduling costs will increase if the system performance is frequently changed. therefore, we propose a dynamic recursive adaptive scheduling scheme (DRAS) which can reduces the computational cost. DRAS uses RAS, which is a static scheme with low cost, as rescheduling algorithm. However, if DRAS uses RAS algorithm with no change, the cost increases since RAS is called many times. thus, we improved the RAS to eliminate the redundant computation. Furthermore, we modified RAS to improve the makespan when used for the rescheduling since DRAS may perform poorly in that case. the evaluation using an abstract simulation shows the makespan of DRAS decreases by 30%compared with a dynamic rescheduling scheme which uses the conventional RAS algorithm. Moreover, DRAS considerably reduces the scheduling time, achieving approximately 6 times speedup for workflows consisting of 1,000 tasks when the dynamic performance is frequently changed.

关键词： Grid computing

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parallel Implementation of Feasible Direction Algorithm for Large-Scale Sensor Network Location Problems 12

Parallel Implementation of Feasible Direction Algorithm for ...

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IEEE 12th international conference on Dependable, Autonomic and Secure computing (DASC)

作者： Chang Xiaokai Xue Wei Lanzhou Univ Technol Coll Sci Lanzhou Peoples R China Vocational Tech Coll Gansu Construct Dept Basic Course Lanzhou Peoples R China

ISBN: (纸本)9781479950799

In order to improve the deficiency generated from uneven distribution of anchors in the distributed semidefinite programming (SDP) method, improved distributed method is proposed for solving Euclidean metric localization problems that arise from large-scale wireless sensor networks (WSN). By introducing the change of factorization, nonlinear programming (NLP) model is presented on each subarea, and feasible direction algorithm is introduced for solving NLP problems, which can be executed in parallel. Numerical results on large-scale sensor network problems with more than 10000 nodes demonstrate that, the proposed method performs better than the distributed SDP method.

关键词： sensor network localization parallel implementation feasible direction algorithm large-scale sensor network

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Robinia-BLAST: An Extensible parallel BLAST based on Data-intensive distributed computing 12

Robinia-BLAST: An Extensible Parallel BLAST based on Data-in...

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IEEE 12th international conference on Dependable, Autonomic and Secure computing (DASC)

作者： Gu, Yang Huang, Zhenchun Tsinghua Univ Dept Comp Sci & Technol Beijing 100084 Peoples R China

ISBN: (纸本)9781479950799

BLAST([1]) (Basic Local Alignment Search Tool) is a suite of programs used to identify similarity between genetic sequences. It is one of the most widely used tools in Bioinformatics. In recent years, with the size of gene and protein sequence database increasing exponentially, BLAST has become both a data-intensive and a computation-intensive application. How to run BLAST rapidly with low cost has always been the hotspot to researchers. parallelization is one of the most important ways to resolve this problem. In this paper, a new approach for parallelizing BLAST based on a parallel processing framework called Robinia is presented. Compared with parallel version of BLAST presented before, Robinia-based BLAST has easy public accessibility and good scalability. Most importantly, it can support operation on WAN, this make it possible to integrate computation and storage resources on Internet to service for super-large scale BLAST projects. We implemented the Robinia-based BLAST and experimented on it using two different datasets. the results show that parallel BLAST based on Robinia can achieve linear speedup based on number of used nodes with good scalability and low cost.

关键词： distributed computing parallel BLAST Bioinformatics wide area networks

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Euro-Par 2014: parallel Processing Workshops 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Luís Lopes Julius Žilinskas Alexandru Costan Roberto G. Cascella Gabor Kecskemeti Emmanuel Jeannot Mario Cannataro Laura Ricci Siegfried Benkner Salvador Petit Vittorio Scarano José Gracia Sascha Hunold Stephen L. Scott Stefan Lankes Christian Lengauer Jesús Carretero Jens Breitbart Michael Alexander

ISBN: (数字)9783319143132

ISBN: (纸本)9783319143125

the two volumes LNCS 8805 and 8806 constitute the thoroughly refereed post-conference proceedings of 18 workshops held at the 20th international conference on parallel computing, Euro-Par 2014, in Porto, Portugal, in August 2014. the 100 revised full papers presented were carefully reviewed and selected from 173 submissions. the volumes include papers from the following workshops: APCI&E (First Workshop on Applications of parallel Computation in Industry and Engineering - BigDataCloud (third Workshop on Big Data Management in Clouds) - DIHC (Second Workshop on Dependability and Interoperability in Heterogeneous Clouds) - FedICI (Second Workshop on Federative and Interoperable Cloud Infrastructures) - Hetero Par (12th international Workshop on Algorithms, Models and Tools for parallel computing on Heterogeneous Platforms) - HiBB (5th Workshop on High Performance Bioinformatics and Biomedicine) - LSDVE (Second Workshop on Large Scale distributed Virtual Environments on Clouds and P2P) - MuCoCoS (7th international Workshop on Multi-/Many-core computing Systems) - OMHI (third Workshop on On-chip Memory Hierarchies and Interconnects) - PADAPS (Second Workshop on parallel and distributed Agent-Based Simulations) - PROPER (7th Workshop on Productivity and Performance) - Resilience (7th Workshop on Resiliency in High Performance computing with Clusters, Clouds, and Grids) - REPPAR (First international Workshop on Reproducibility in parallel computing) - ROME (Second Workshop on Runtime and Operating Systems for the Many Core Era) - SPPEXA (Workshop on Software for Exascale computing) - TASUS (First Workshop on Techniques and Applications for Sustainable Ultrascale computing Systems) - UCHPC (7th Workshop on Un Conventional High Performance computing) and VHPC (9th Workshop on Virtualization in High-Performance Cloud computing.

关键词： System Performance and Evaluation Software Engineering/Programming and Operating Systems Computer Communication networks Database Management Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet)

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Euro-Par 2014: parallel Processing Workshops 1

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丛书名： Lecture Notes in Computer Science

1000年

ISBN: (数字)9783319143255

ISBN: (纸本)9783319143248

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