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检索条件"任意字段=10th International Conference on Algorithms and Architectures for Parallel Processing"

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parallel BSO Algorithm for Association Rules Mining Using Master/Worker Paradigm 11th

Parallel BSO Algorithm for Association Rules Mining Using Ma...

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11th international conference on parallel processing and Applied Mathematics (PPAM)

作者： Djenouri, Youcef Bendjoudi, Ahcene Djenouri, Djamel Habbas, Zineb Univ Saad Dahleb LRDSI Blida Algeria CERIST Res Ctr DTISI Algiers Algeria Univ Lorraine LCOMS F-57045 Metz France

ISBN: (纸本)9783319321493;9783319321486

the extraction of association rules from large transactional databases is considered in the paper using cluster architecture parallel computing. Motivated by both the successful sequential BSO-ARM algorithm, and the strong matching between this algorithm and the structure of the cluster architectures, we present in this paper a new parallel ARM algorithm that we call MW-BSO-ARM for master/worker version of BSO-ARM. the goal is to deal with large databases by minimizing the communication and synchronization costs, which represent the main challenges that faces any cluster architecture. the experimental results are very promising and show clear improvement that reaches 300% for large instances. For examples, in big transactional database such as WebDocs, the proposed approach generates 10(7) satisfied rules in only 22 min, while a previous GPU-based approach cannot generate more than 10(3) satisfied rules into 10 h. the results also reveal that MW-BSO-ARM outperforms the PGARM cluster-based approach in terms of computation time.

关键词： Master/Worker Cluster architecture BSO-ARM

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parallel Speech Corpora of Japanese Dialects 10

Parallel Speech Corpora of Japanese Dialects

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10th international conference on Language Resources and Evaluation (LREC)

作者： Yoshino, Koichiro Hirayama, Naoki Mori, Shinsuke Takahashi, Fumihiko Itoyama, Katsutoshi Okuno, Hiroshi G. Nara Inst Sci & Technol Grad Sch Informat Sci Ikoma 6300192 Japan Toshiba Co Ltd Ind ICT Solut Co 3-22 Katamachi Fuchu Tokyo 1838512 Japan Kyoto Univ Acad Ctr Comp & Media Studies Sakyo Ku Kyoto 6068501 Japan Yahoo Japan Corp Minato Ku Midtown Tower9-7-1 Akasaka Tokyo 1076211 Japan Kyoto Univ Grad Sch Informat Sakyo Ku Kyoto 6068501 Japan Waseda Univ Sch Creat Sci & Engn Shinjyuku Ku Tokyo 1690072 Japan

ISBN: (纸本)9782951740891

Clean speech data is necessary for spoken language processing, however, there is no public Japanese dialect corpus collected for speech processing. parallel speech corpora of dialect are also important because real dialect affects each other, however, the existing data only includes noisy speech data of dialects and their translation in common language. In this paper, we collected parallel speech corpora of Japanese dialect, 100 read speeches utterance of 25 dialect speakers and their transcriptions of phoneme. We recorded speeches of 5 common language speakers and 20 dialect speakers from 4 areas, 5 speakers from 1 area, respectively. Each dialect speaker converted the same common language texts to their dialect and read them. Speeches are recorded with closed-talk microphone, using for spoken language processing (recognition, synthesis, pronounce estimation). In the experiments, accuracies of automatic speech recognition (ASR) and Kana Kanji conversion (KKC) system are improved by adapting the system with the data.

关键词： Speech Transcription Dialect Japanese

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12th international conference on Beyond Databases, architectures and Structures, BDAS 2016

12th International Conference on Beyond Databases, Architect...

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12th international conference on Beyond Databases, architectures and Structures, BDAS 2016

ISBN: (纸本)9783319340982

the proceedings contain 57 papers. the special focus in this conference is on Artifical Intelligence, Data Mining, Knowledge Discovery, algorithms for Efficient Data processing and Data Warehousing. the topics include: Interactive visualization of big data;reduction of readmissions to hospitals based on actionable knowledge discovery and personalization;performing and visualizing temporal analysis of large text data issued for open sources;influence of outliers introduction on predictive models quality;methods for selecting nodes for maximal spread of influence in recommendation services;memetic neuro-fuzzy system with differential optimisation;new rough-neuro-fuzzy approach for regression task in incomplete data;improvement of precision of neuro-fuzzy system by increase of activation of rules;rough sets in multicriteria classification of national heritage monuments;inference rules for fuzzy functional dependencies in possibilistic databases;the evaluation of map-reduce join algorithms;the design of the efficient theta-join in map-reduce environment;non-recursive approach for sort-merge join operation;estimating costs of materialization methods for SQL;performance aspect of the in-memory databases accessed via JDBC;comparison of the behaviour of local databases and databases located in the cloud;scalable distributed two-layer datastore providing data anonymity;coordination of parallel tasks in access to resource groups by adaptive conflictless scheduling;conflictless task scheduling using association rules;distributed computing in monotone topological spaces;new similarity measure for spatio-temporal OLAP queries;enhancing concept extraction from polish texts with rule management and a diversified classification committee for recognition of innovative internet domains.

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parallel implementation of searching the most similar subsequence in time series for computer systems with distributed memory 10

Parallel implementation of searching the most similar subseq...

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10th Annual international Scientific conference on parallel Computing Technologies, PCT 2016

作者： Movchan, A.V. Zymbler, M.L. South Ural State University Chelyabinsk Russia

the paper presents parallel implementation of searching the most similar subsequence in time series for computer cluster system with nodes based on Intel MIC accelerators. the algorithm involves three levels of data parallelism. the first level provides partitioning of time series into equal-length fragments, each of which is processed on a separate node of the computer cluster;nodes interact using MPI technology. the second level of parallelism supposes division of the fragment into equal-length segments and processing of each segment by a separate thread by means of OpenMP technology. the third level provides load balancing between CPU and accelerator. CPU performs pruning of dissimilar subsequences. Accelerator performs heavy-weighted calculations of similarity measure. the results of experiments confirm the efficiency of algorithm.

关键词： Time series

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An Efficient Design of 4-Bit Serial Input parallel Output/Serial Output Shift Register in Quantum Dot Cellular Automata 3

An Efficient Design of 4-Bit Serial Input Parallel Output/Se...

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3rd international conference on Computing for Sustainable Global Development (INDIACom)

作者： Padmanabhan, Ashwin Miranda, Allen Vivean Srinivas, T. Oxford Coll Engn Dept Elect & Commun Bangalore Karnataka India Indian Inst Sci Appl Photon Lab Bangalore Karnataka India

ISBN: (纸本)9789380544199

the VLSI technology that is in place today caters to almost all technology based products but as the need for speed and space increases VLSI technology might not be able to keep up with the demand. there are a lot of alternatives that are being researched on but very few can match VLSI in terms of performance. Technologies such as nanotechnology, photonics, quantum computing look promising in that ***-dot Cellular Automata(QCA) is one such technology which possibly can replace VLSI at the same time provides higher processing speed while occupying lesser space. In this paper we propose a design for([I])Serial Input parallel Output (SIPO)and (([I])serial Input Serial Output (SISO) registers with the help of QCA technology Keywords Shift register, Quantum dot, QCA technology

关键词： QCA technology Quantum dot Shift register

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Performance analysis of Δ-stepping algorithm on CPU and GPU 47

Performance analysis of Δ-stepping algorithm on CPU and GPU

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47th international Youth School-conference "Modern Problems in Mathematics and its Applications", MPMA 2016

作者： Lesnikov, Dmitry Chernoskutov, Mikhail Ural Federal University Yekaterinburg Russia Krasovskii Institute of Mathematics and Mechanics Yekaterinburg Russia

Δ-stepping is an algorithm for solving single source shortest path problem. It is very efficient on a large class of graphs, providing nearly linear time complexity in sequential implementation, and can be parallelized. However, this algorithm requires some tuning and has unpredictable performance behaviour on systems with different parallel architectures. In this paper we describe details of implementation of this algorithm on CPU and GPU. Performing numerous tests we studied scalability of algorithms on CPU and GPU and compared performance for different Δ parameter. We show that performance results for CPU and GPU varies for different delta. Also, we noticed that GPU performance are stable for some different delta values. Our result shows how to choose Δ for achieving best performance for tested graphs. Copyright © by the paper's authors.

关键词： Graphics processing unit

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OpenMP Genetic Algorithm for Continuous Nonlinear Large-Scale Optimization Problems 5th

OpenMP Genetic Algorithm for Continuous Nonlinear Large-Scal...

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5th international conference on Soft Computing for Problem Solving (SocProS)

作者： Umbarkar, A. J. Walchand Coll Engn Dept Informat Technol Sangli MS India

ISBN: (纸本)9789811004513;9789811004506

Genetic algorithms (GAs) are one of the evolutionary algorithms for solving continuous nonlinear large-scale optimization problems. In an optimization problem, when dimension size increases, the size of search space increases exponentially. It is quite difficult to explore and exploit such huge search space. GA is highly parallelizable optimization algorithm;still there is a challenge to use all the cores of multicore (viz. Dual core, Quad core, and Octa cores) systems. the paper analyzes the parallel implementation of SGA (Simple GA) called as OpenMP GA. OpenMP (Open Multi-processing) GA attempts to explore and exploit the search space on the multiple cores' system. the performance of OpenMP GA is compared with SGA with respect to time required and cores utilized for obtaining optimal solution. the results show that the performance of the OpenMP GA is remarkably superior to that of the SGA in terms of execution time and CPU utilization. In case of OpenMP GA, CPU utilization is almost double for continuous nonlinear large-scale test problems for the given system configuration.

关键词： Function optimization Genetic algorithm (GA) Open multi-processing (OpenMP) Nonlinear optimization problems Optimization benchmarks functions

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A Comparison of Accelerator architectures for Radio-Astronomical Signal-processing algorithms

A Comparison of Accelerator Architectures for Radio-Astronom...

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international conference on parallel processing (ICPP)

作者： John W. Romein ASTRON (Netherlands Institute for Radio Astronomy) Postbus 2 Dwingeloo The Netherlands

ISBN: (纸本)9781509028245

In this paper, we compare a wide range of accelerator architectures (GPUs from AMD and NVIDIA, the Xeon Phi, and a DSP), by means of a signal-processing pipeline that processes radio-telescope data. We discuss the mapping of the algorithms from this pipeline to the accelerators, and analyze performance. We also analyze energy efficiency, using custom-built, microcontroller-based power sensors that measure the instantaneous power consumption of the accelerators, at millisecond time scale. We show that the GPUs are the fastest and most energy efficient accelerators, and that the differences in performance and energy efficiency are large.

关键词： Receivers Pipelines Kernel Digital signal processing Finite impulse response filters Computer architecture Instruction sets

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parallel k-Means++ for Multiple Shared-Memory architectures

Parallel k-Means++ for Multiple Shared-Memory Architectures

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international conference on parallel processing (ICPP)

作者： Patrick Mackey Robert R. Lewis Pacific Northwest National Laboratory Richland WA USA

ISBN: (纸本)9781509028245

In recent years k-means++ has become a popular initialization technique for improved k-means clustering. To date, most of the work done to improve its performance has involved parallelizing algorithms that are only approximations of k-means++. In this paper we present a parallelization of the exact k-means++ algorithm, with a proof of its correctness. We develop implementations for three distinct shared-memory architectures: multicore CPU, high performance GPU, and the massively multithreaded Cray XMT platform. We demonstrate the scalability of the algorithm on each platform. In addition we present a visual approach for showing which platform performed k-means++ the fastest for varying data sizes.

关键词： Clustering algorithms Graphics processing units Probabilistic logic Multicore processing Instruction sets Algorithm design and analysis

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parallel floating-point expansions for extended-precision GPU computations

Parallel floating-point expansions for extended-precision GP...

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international conference on Application Specific Systems (ASAP), architectures and Processors

作者： Sylvain Collange Mioara Joldes Jean-Michel Muller Valentina Popescu INRIA Rennes LAAS CNRS Toulouse CNRS ENS Lyon ENS Lyon

ISBN: (纸本)9781509015047

GPUs are an important hardware development platform for problems where massive parallel computations are needed. Many of these problems require a higher precision than the standard double floating-point (FP) available. One common way of extending the precision is the multiple-component approach, in which real numbers are represented as the unevaluated sum of several standard machine precision FP numbers. this representation is called a FP expansion and it offers the simplicity of using directly available and highly optimized FP operations. In this article we present new data-parallel algorithms for adding and multiplying FP expansions specially designed for extended precision computations on GPUs. these are generalized algorithms that can manipulate FP expansions of different sizes (from double-double up to a few tens of doubles) and ensure a certain worst case error bound on the results.

关键词： Standards Graphics processing units parallel processing Approximation algorithms Algorithm design and analysis Heuristic algorithms Instruction sets

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