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检索条件"任意字段=9th International Conference on Parallel and Distributed Computing, Applications and Technologies"

共 1772 条记录，以下是721-730 订阅

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Proceedings of PDSW 2014: 9th parallel Data Storage Workshop - Held in Conjunction with SC 2014: the international conference for High Performance computing, Networking, Storage and Analysis

Proceedings of PDSW 2014: 9th Parallel Data Storage Workshop...

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9th parallel Data Storage Workshop, PDSW 2014 - Held in Conjunction with the international conference for High Performance computing, Networking, Storage and Analysis, SC 2014

ISBN: (纸本)9781479970254

the proceedings contain 8 papers. the topics discussed include: BatchFS: scaling the file system control plane with client-funded metadata servers;using property graphs for rich metadata management in hpc systems;evaluating lustre's metadata server on a multi-socket platform;alleviating I/O interference via caching and rate-controlled prefetching without degrading migration performance;VSFS: a searchable distributed file system;automatic generation of I/O kernels for HPC applications;HPIS3: towards a high-performance simulator for hybrid parallel I/O and storage systems;and Feign: in-silico laboratory for researching I/O strategies.

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Fault-tolerant Routing in (n, k)-Star Graphs 15

Fault-tolerant Routing in (<i>n</i>, <i>k</i>)-Star Graphs

引用

15th international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Ito, Takara Myojin, Manabu Hirai, Yuki Kaneko, Keiichi Tokyo Univ Agr & Technol Grad Sch Engn Nakacho 2-24-16 Koganei Tokyo 1848588 Japan

ISBN: (纸本)9781479983346

An (n, k)-star graph S-n,S- k is a promising topology for interconnection networks of parallel processing systems because it inherits the merits of a star graph while providing various network sizes. In this study, we propose a fault-tolerant routing algorithm that establishes a fault-free path between any pair of non-faulty nodes in an S-n,S- k with faulty nodes by using limited global information called safety vectors. In addition, we carried out a computer experiment to verify its effectiveness.

关键词： Interconnection networks Fault tolerance Tin parallel processing systems stars Network routing fault-free Line graph Ganglia Pairing

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Sparse Matrix-Vector Multiplication: A Data Mapping-Based Architecture 15

Sparse Matrix-Vector Multiplication: A Data Mapping-Based Ar...

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15th international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Mansour, Ahmad Goetze, Juergen Hsu, Wei-Chun Ruan, Shanq-Jang TU Dortmund Informat Proc Lab Dortmund Germany Natl Taiwan Univ Sci & Technol Low Power Syst Design Grp Microsyst Lab Taipei Taiwan

ISBN: (纸本)9781479983346

the performance of the sparse matrix-vector multiplication (SMVM) on a parallel system is strongly affected by the distribution of data among its components. Two costs arise as a result of the used data mapping method: arithmetic and communication. the communication cost often dominates the arithmetic cost, and the gap between these costs tends to increase. therefore, finding a mapping method that reduces the communication cost is of high importance. On the other hand, the load distribution among the processing units must not be sacrificed. In this paper, a data mapping method is proposed for SMVM on Network-on-Chip which achieves balanced working load and reduces the communication cost. Afterwards, an FPGA-based architecture is introduced which is designed to fit with the proposed data mapping method.

关键词： data distribution parallel system Communication Research MAPPING(MAthEMATICAL) Multiplication Load distribution ARCHITECTURE Building construction arithmetic Workload

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TOUGH2-PETSc: A parallel Solver for TOUGH2 15

TOUGH2-PETSc: A Parallel Solver for TOUGH2

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15th international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Hathorn, Daniel Wu, Yushu Chen, Zizhong Colorado Sch Mines Golden CO 80401 USA Univ Calif Riverside Riverside CA 92521 USA

ISBN: (纸本)9781479983346

TOUGH2 is a general-purpose numerical simulation program for multi-dimensional, multiphase, multicomponent fluid flows, heat transfer and contaminant transport in porous and fractured media. It has been used worldwide for geothermal reservoir engineering, nuclear waste isolation, environmental assessment and remediation, and modeling flow and transport in variably saturated media. TOUGH2 is very computationally intense, and the accuracy and scope of the simulation is limited by the amount of processing power available on a single computer. this makes it an ideal canadate for parallel computing, as more CPU power and memory is available. Furthermore, TOUGH2' s main computational unit is a linear equation solver. In parallel computing, a lot of effort has been spent to develop highly efficient parallel linear equation solvers. In this paper, we present TOUGH2-PETSc, a parallel implementation of TOUGH2 that uses PETSc to solve the linear systems in TOUGH2. PETSc is a library of high-performance linear and non-linear equation solvers that has been throughly tested at scale. Based on TOUGH2 and PETSc, TOUGH2-PETSc gives TOUGH2 users the potential to perform larger scale and higher resolution simulations. Experimental results demonstrate that the parallel TOUGH2-PETSc shows improved performance over the sequential version.

关键词： Solvers Linear equation parallel PROCESSING (COMPUTERS) parallel Lines nonlinear equations contaminant transport Linear system

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Agricultural Environmental Information Collection Device Based on Raspberry Pi

Agricultural Environmental Information Collection Device Bas...

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the 9th international conference on Computer and computing technologies in Agriculture (CCTA 2015)

作者： Baofeng Su Linya Huang Zhen Gao Jiao Guo College of Mechanical and Electronic Engineering Northwest A&F University School of Mechanical Engineering Shandong University

ISBN: (纸本)9783319483566

Integrated agricultural environmental information real-time collection, transmission and management is extremely critical for precision agriculture(PA). this paper describes the basic knowledge and primary principles used in an agricultural environmental information collection device. the device is based on Raspberry Pi, combining with GPS module, some digital sensors and analog sensors to measure environmental temperature and humidity, barometric pressure, light intensity, soil moisture and other environmental information accurate collection. All collected data was real-time transmitted to a remote server specified database for management. In the experiment process, the device has been proved to have the ability to catch the distributed information and also can get different centralized data management. the results show the integration of operational information collection, transmission and management, as well as the use of open source software to make it easy to collect multiple types of data parallelism, which provides an important solution for the rapid transformation of agricultural production.

关键词： Agricultural environmental information Integration Open source Raspberry Pi open source DNA Integration integration environmental information data parallel open source software Raspberries Data management Proportional integral agricultural production

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FastICA on Modern GPU Architectures 15

FastICA on Modern GPU Architectures

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15th international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Plauth, Max Feinbube, Frank Troeger, Peter Polze, Andreas Univ Potsdam Hasso Plattner Inst Potsdam Germany

ISBN: (纸本)9781479983346

Blind Signal Separation is an algorithmic problem class that deals with the restoration of original signal data from a signal mixture. Implementations, such as FastICA, are optimized for parallelization on CPU or first-generation GPU hardware. With the advent of modern, compute centered GPU hardware with powerful features such as dynamic parallelism support, these solutions no longer leverage the available hardware performance in the best-possible way. We present an optimized implementation of the FastICA algorithm, which is specifically tailored for next-generation GPU architectures such as Nvidia Kepler. Our proposal achieves a two digit factor of speedup in the prototype implementation, compared to a multithreaded CPU implementation. Our custom matrix multiplication kernels, tailored specifically for the use case, contribute to the speedup by delivering better performance than the state-of-the-art CUBLAS library.

关键词： CUDA GPU compute devices audio signal processing blind signal separation independent component analysis parallel processing Blind source separation Independent component analysis audio signal processing parallel PROCESSING (COMPUTERS) GRAPPER PICK UP Graphics Processing Unit Speeding islet cell antibody central processing units ARCHITECTURE

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Application and Implementation of Private Cloud in Agriculture Sensory Data Platform

Application and Implementation of Private Cloud in Agricultu...

引用

the 9th international conference on Computer and computing technologies in Agriculture (CCTA 2015)

作者： Shuwen Jiang Tian'en Chen Jing Dong Beijing Research Center for Information Technology in Agriculture National Engineering Research Center for Information Technology in Agriculture Key Laboratory of Agri-Infomatics Ministry of Argiculture

ISBN: (纸本)9783319483535

With the explosive development of the Internet of things technology in recent years, the Internet of things technology is also used more and more widely in modern agricultural productionFor mass sensor data was produced by the Internet of things in agricultural production, While big data bring many bene‐fits and unprecedented challenges to usersthe Internet of things in agriculture production produces some complexity problem which are mass sensor data's Scale, sensor data's heterogeneity and mass sensor data's operation, distribution of sensor, high concurrency of data is written etcIn the presence of these prob‐lems, this paper put forward a kind solution of agricultural private cloud sensor data Platform, which is named "Sensor Private Clouds Platform"(SPCP)the Private cloud platform including following modules, All of these are distributed sensor data caching module based on cluster of memercached and Nginx load(Sensor Cache);heterogeneous data adapter of sensor module(Sensor Adpter),distributed computing storage module based on hadoop' HDFS(Sensor Storage),efficient query module of sensor data warehouse based on the Hive(Sensor Store),management module of sensor metadata(Sensor Manager), parallel sensor data analysis module(Sensor Num) based on the map-reduce of the hadoop, cloud service of sensor data module(Sensor Publish) based on webservicethe exper‐imental results show that SPCP have had the abilities which are mass sensor data storage, cleaning of heterogeneous sensor data, real-time query and processing of mass sensor datathese abilities provides a feasible solution for the hetero‐geneous data storage and mass sensor data's query in the Internet of things of agriculture production.

关键词： Internet of things Private cloud Big data Hadoop HDFS

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A stream computing approach towards scalable NLP 9

A stream computing approach towards scalable NLP

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9th international conference on Language Resources and Evaluation (LREC)

作者： Artola, Xabier Beloki, Zuhaitz Soroa, Aitor Univ Basque Country IXA NLP Grp Donostia San Sebastian Basque Country Spain

ISBN: (纸本)9782951740884

Computational power needs have grown dramatically in recent years. this is also the case in many language processing tasks, due to overwhelming quantities of textual information that must be processed in a reasonable time frame. this scenario has led to a paradigm shift in the computing architectures and large-scale data processing strategies used in the NLP field. In this paper we describe a series of experiments carried out in the context of the NewsReader project with the goal of analyzing the scaling capabilities of the language processing pipeline used in it. We explore the use of Storm in a new approach for scalable distributed language processing across multiple machines and evaluate its effectiveness and efficiency when processing documents on a medium and large scale. the experiments have shown that there is a big room for improvement regarding language processing performance when adopting parallel architectures, and that we might expect even better results with the use of large clusters with many processing nodes.

关键词： distributed NLP architectures Big Data Storm

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A block size optimization algorithm for parallel image processing

A block size optimization algorithm for parallel image proce...

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9th international conference on Computer Vision theory and applications, VISAPP 2014

作者： Fernández, J. Alvaro Moreno, M. Dolores Dept. Ing. Eléctrica Electrónica y Automática Escuela de Ingenierías Industriales Universidad de Extremadura Av. Elvas s/n 06006 Badajoz Spain

ISBN: (纸本)9789897580031

the aim of this work is to define a strategy for rectangular block partitioning that can be adapted to the number of available processing units in a parallel processing machine, regardless of the input data size. With this motivation, an algorithm for optimal vector block partitioning is introduced and tested in a typical parallel image application. the proposed algorithm provides a novel partition method that reduces data sharing between blocks and maintains block sizes as equal as possible for any input size. Copyright © 2014 SCITEPRESS - Science and Technology Publications. All rights reserved.

关键词： Computer vision

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China Topsoil Stripping Suitability Evaluation Based on Soil Properties

China Topsoil Stripping Suitability Evaluation Based on Soil...

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the 9th international conference on Computer and computing technologies in Agriculture (CCTA 2015)

作者： Yan Xu Yuepeng Wang Xing Liu Dan Luo Hongman Liu College of Resources and Environmental Sciences China Agricultural University Key Laboratory of Land Quality Ministry of Land and Resources YantaiMunicipal Bureau of Land and Resources College of Economics and Management China Agricultural University

ISBN: (纸本)9783319483566

the purpose of topsoil stripping reuse is to provide a good cultivation platform for agricultural site conditions, namely increasing soil thickness and improving soil fertility levels. Based on soil type, using the thickness of the soil and organic matter content as criteria, the natural suitability of stripped topsoil from different regions were evaluated. the evaluation results were divided into five levels: Most suitable, suitable, moderately suitable, less suitable, and unsuitable. the results show that the highest degree of topsoil stripping natural suitability is mainly distributed in the Northeast region, along the middle and lower Yangtze River, and the region south of the Yangtze River. the most unsuitable regions for topsoil stripping natural suitability are mainly located in the hilly regions of the Sichuan Basin and the eastern part of the Northwest. the topsoil stripping process must be based on the soil properties of both the original site and the transplantation location.

关键词： Soil type Topsoil stripping Suitability assessment Land evaluation SOIL TYPES land assessment properties of soils Yangtze River Sichuan Basin agricultural regions suitability organic matter content

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