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检索条件"任意字段=10th International Conference on Parallel and Distributed Computing, Applications and Technologies"

共 1767 条记录，以下是911-920 订阅

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parallel batch pattern training of neural networks on computational clusters

Parallel batch pattern training of neural networks on comput...

引用

2012 10th Annual international conference on High Performance computing and Simulation, HPCS 2012

作者： Turchenko, Volodymyr Grandinetti, Lucio Sachenko, Anatoly Research Institute of Intelligent Computer Systems Ternopil National Economic University 3 Peremoga Square 46009 Ternopil Ukraine Italy

ISBN: (纸本)9781467323598

the research of a parallelization efficiency of a batch pattern training algorithm of a multilayer perceptron on computational clusters is presented in this paper. the multilayer perceptron model and the usual sequential batch pattern training algorithm are theoretically described. An algorithmic description of the parallel version of the batch pattern training method is presented. the efficiency of parallelization of the developed algorithm is investigated on the progressive increasing the dimension of the parallelized problem. the results of the experimental researches show that (i) the cluster with Infiniband interconnection shows better values of parallelization efficiency in comparison with general-purpose parallel computer with ccNuma architecture due to lower communication overhead and (ii) the parallelization efficiency of the algorithm is high enough for its appropriate usage on general-purpose clusters and parallel computers available within modern computational grids. © 2012 IEEE.

关键词： Clustering algorithms

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Hybrid parallel solutions of the Black-Scholes PDE with the truncated combination technique

Hybrid parallel solutions of the Black-Scholes PDE with the ...

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2012 10th Annual international conference on High Performance computing and Simulation, HPCS 2012

作者： Benk, Janos Pflüger, Dirk Technische Universität München Boltzmannstr. 3 85748 Garching Germany IPVS Universität Stuttgart Universitätsstr. 38 70569 Stuttgart Germany

ISBN: (纸本)9781467323598

this paper presents an efficient approach to parallel pricing of multi-dimensional financial derivatives based on the Black-Scholes Partial Differential Equation (BS-PDE). One of the main challenges for such multi-dimensional problems is the curse of dimensionality, that is tackled in our approach by the combination technique (CT). this technique consists of a combination of several solutions obtained on anisotropic full grids. Hence, it offers the possibility to compute the BS-PDE on each one in an embarrassingly parallel way. Besides parallelizing on the CT level, we have developed a shared memory parallel multigrid solver for the BS-PDE. the parallel efficiency of our hybrid parallel approach is demonstrated by strong scaling results of 5D and 6D pricing problems. © 2012 IEEE.

关键词： parallel Lines Pricing Curse of Dimensionality Demand Driven Direct Digital Dissemination Solutions HYBRID Hybrid electric vehicles

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conference organization

Conference organization

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

Provides a listing of current committee members and society officers.

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Large electromagnetic problem on large scale parallel computing systems

Large electromagnetic problem on large scale parallel comput...

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2012 10th Annual international conference on High Performance computing and Simulation, HPCS 2012

作者： Alexandru, M. Monteil, T. Coccetti, F. Aubert, H. Lorenz, P. CNRS LAAS 7 avenue du colonel Roche F-31400 Toulouse France Univ. de Toulouse INP LAAS F-31400 Toulouse France Univ. de Toulouse INSA LAAS F-31400 Toulouse France Univ. de Toulouse LAAS F-31400 Toulouse France Lorenz Solutions 83661 Lenggries Germany

ISBN: (纸本)9781467323598

this paper deals with the electromagnetic modeling of large and complex electrical structures by means of large scale parallel systems, such as Grid computing and supercomputer. Transmission-Line Matrix modeling method is applied to homogeneous volumes. the planar structures are modelled with the mode matching approach. the results prove the benefits of the grid computing and supercomputer environments to solve electrically large structures. A prediction model for computing performances on grid, based on a hybrid approach that combines a historic-based prediction and an application profile-based prediction, has been developped. the predicted values are in good agreement with the measured values. © 2012 IEEE.

关键词： Supercomputers

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distributed Java Programs Initial Mapping Based on Extremal Optimization

Distributed Java Programs Initial Mapping Based on Extremal ...

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10th Nordic international conference on Applied parallel computing - State of the Art in Scientific and parallel computing (PARA)

作者： Laskowski, Eryk Tudruj, Marek De Falco, Ivanoe Scafuri, Umberto Tarantino, Ernesto Olejnik, Richard Polish Acad Sci Inst Comp Sci POB 22 PL-00901 Warsaw Poland ICAR CNR Inst High Performance Comp & Networking Naples Italy Polish Japanese Inst Informat Technol Warsaw Poland Univ Sci & Technol Lille Comp Sci Lab Lille France

ISBN: (纸本)9783642281501;9783642281518

An application of extremal optimization algorithm for mapping Java program components on clusters of Java Virtual Machines (JVMs) is presented. Java programs are represented as Directed Acyclic Graphs in which tasks correspond to methods of distributed active Java objects that communicate using the RMI mechanism. the presented probabilistic extremal optimization approach is based on the local fitness function composed of two sub-functions in which elimination of delays of task execution after reception of required data and the imbalance of tasks execution in processors are used as heuristics for improvements of extremal optimization solutions. the evolution of an extremal optimization solution is governed by task clustering supported by identification of the dominant path in the graph. the applied task mapping is based on dynamic measurements of current loads of JVMs and inter-JVM communication link bandwidth. the JVM loads are approximated by observation of the average idle time that threads report to the OS. the current link bandwidth is determined by observation of the performed average number of RMI calls per second.

关键词： distributed systems scheduling evolutionary algorithms

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distributed virtual environments: From client server to cloud and P2P architectures

Distributed virtual environments: From client server to clou...

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2012 10th Annual international conference on High Performance computing and Simulation, HPCS 2012

作者： Ricci, Laura Carlini, Emanuele Department of Computer Science University of Pisa Italy Istituto di Scienza e Tecnologie Della Informazione A. Faedo ISTI-CNR Pisa Italy IMT Institutions Markets Technology Institute for Advanced Studies Lucca Italy

ISBN: (纸本)9781467323598

distributed Virtual Environments (DVEs), like Massively Multiplayer Online Games(MMOG) are attracting millions of users from all over the world. However, as the number of simultaneous users keeps growing, the current used Client/Server infrastructure technologies are showing their limits on the side of the practicality and applicability. As a consequence, novel solutions based on Cloud and P2P architectures have been recently proposed. While Cloud Architectures permit to overcome the over provisioning problem of C/S architectures, the advent of home xDSL connection capability permits to explore the capability of P2P approaches to design the infrastructure of next-generation DVEs. the use of P2P distributed infrastructures permits to exploit the inherent scalability of DVE, their robustness and self-organizing properties. However, this solution has to face with additional related challenges such as consistency, persistence and limited hardware capabilities of the peers. this paper discusses the main research challenges and reviews the main DVE architectures proposed in the last years. © 2012 IEEE.

关键词： Cloud computing architecture

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On Aggressive Early Deflation in parallel Variants of the QR Algorithm

On Aggressive Early Deflation in Parallel Variants of the QR...

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10th Nordic international conference on Applied parallel computing - State of the Art in Scientific and parallel computing (PARA)

作者： Kågström, Bo Kressner, Daniel Shao, Meiyue Umea Univ Dept Comp Sci S-90187 Umea Sweden Umea Univ HPC2N S-90187 Umea Sweden Swiss Fed Inst Technol Seminar Appl Math Zurich Switzerland

ISBN: (纸本)9783642281501;9783642281518

the QR algorithm computes the Schur form of a matrix and is by far the most popular approach for solving dense nonsymmetric eigenvalue problems. Multishift and aggressive early deflation (AED) techniques have led to significantly more efficient sequential implementations of the QR algorithm during the last decade. More recently, these techniques have been incorporated in a novel parallel QR algorithm on hybrid distributed memory HPC systems. While leading to significant performance improvements, it has turned out that AED may become a computational bottleneck as the number of processors increases. In this paper, we discuss a two-level approach for performing AED in a parallel environment, where the lower level consists of a novel combination of AED with the pipelined QR algorithm implemented in the ScaLAPACK routine PDLAHQR. Numerical experiments demonstrate that this new implementation further improves the performance of the parallel QR algorithm.

关键词： Eigenvalues and eigenfunctions

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Towards Cyber-Eco Systems: Networked Sensing, Inference and Control for distributed Ecological Experiments

Towards Cyber-Eco Systems: Networked Sensing, Inference and ...

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IEEE/ACM international conference on Green computing and Communications (GreenCom) / IEEE international conference on Internet of things (ithings) / 5th IEEE international conference on Cyber, Physical and Social computing (CPSCom)

作者： Flikkema, Paul G. Yamamoto, Kenji R. Boegli, Samuel Porter, Christopher Heinrich, Paul No Arizona Univ Wireless Networks Res Lab Flagstaff AZ 86011 USA Blue Plasma Engn Scottsdale AZ USA No Arizona Univ Merriam Powell Ctr Environm Res Flagstaff AZ 86011 USA

ISBN: (纸本)9780769548654;9781467351461

New applications are motivating and informing the design of sensor/actuator networks, and, more broadly, research in cyber-physical systems (CPS). Our knowledge of many physical systems is uncertain, so that sensing and actuation must be mediated by inference of the structure and parameters of physical-system models. One CPS application domain of growing interest is ecological systems, motivated by the need to understand plant survival and growth as a function of genetics, environment, and climate change. For this effort to be successful, we must be able to infer coupled, data-driven predictive models of plant growth dynamics in response to climate drivers that allow incorporation of uncertainty. We are developing an architecture and implementation for precise fine-scale control of irrigation in an array of geographically-distributed outdoor gardens on an elevational gradient of over 1500 m, allowing design of experiments that combine control of temperature and water availability. this paper describes a system architecture and implementation for this class of cyber-eco systems, including sensor/actuator node design, site-level networking, data assimilation, inference, and distributed control. Among its innovations are a modular, parallel-processing node hardware design allowing real-time processing and heterogeneous nodes, energy-aware hardware/software design, and a networking protocol that builds in trade-offs between energy conservation and latency. throughout, we emphasize the changes in system architecture required as missions evolve from sensing-only to sensing, inference, and control. We also describe our developmental implementation of the architecture and its planned deployment. Future extensions will likely add negative control of precipitation using active rain-out shelters and additional plant-level control of air or soil temperature.

关键词： sensor sensor/actuator cyber-physical systems cyber-eco systems networks ecological systems engineering

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Enabling Cloud Interoperability with COMPSs

引用

18th international conference on Euro-Par parallel Processing

作者： Marozzo, Fabrizio Lordan, Francesc Rafanell, Roger Lezzi, Daniele Talia, Domenico Badia, Rosa M. Univ Calabria DEIS I-87036 Arcavacata Di Rende CS Italy Spanish Council Sci Res CSIC Artificial Intelligence Res Inst IIIA Madrid Spain Univ Calabria DEIS Arcavacata Di Rende Italy CNR ICAR Arcavacata Di Rende Italy

ISBN: (纸本)9783642328206

the advent of Cloud computing has given to researchers the ability to access resources that satisfy their growing needs, which could not be satisfied by traditional computing resources such as PCs and locally managed clusters. On the other side, such ability, has opened new challenges for the execution of their computational work and the managing of massive amounts of data into resources provided by different private and public infrastructures. COMP Superscalar (COMPSs) is a programming framework that provides a programming model and a runtime that ease the development of applications for distributed environments and their execution on a wide range of computational infrastructures. COMPSs has been recently extended in order to be interoperable with several cloud technologies like Amazon, OpenNebula, Emotive and other OCCI compliant offerings. this paper presents the extensions of this interoperability layer to support the execution of COMPSs applications into the Windows Azure Platform. the framework has been evaluated through the porting of a data mining workflow to COMPSs and the execution on an hybrid testbed.

关键词： parallel programming models Cloud computing Data mining PaaS

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parallel I/O, Analysis, and Visualization of a Trillion Particle Simulation

Parallel I/O, Analysis, and Visualization of a Trillion Part...

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25th ACM/IEEE international conference for High Performance computing, Networking, Storage and Analysis (SC)

作者： Byna, Surendra Chou, Jerry Ruebel, Oliver Prabhat Karimabadi, Homa Daughton, William S. Roytershteyn, Vadim Bethel, E. Wes Howison, Mark Hsu, Ke-Jou Lin, Kuan-Wu Shoshani, Arie Uselton, Andrew Wu, Kesheng Lawrence Berkeley Natl Lab Berkeley CA USA Tsinghua Univ Beijing Peoples R China Univ Calif San Diego San Diego CA USA Los Alamos Natl Lab Los Alamos NM USA Brown Univ Browns Mills NJ USA

ISBN: (纸本)9781467308052;9781467308045

Petascale plasma physics simulations have recently entered the regime of simulating trillions of particles. these unprecedented simulations generate massive amounts of data, posing significant challenges in storage, analysis, and visualization. In this paper, we present parallel I/O, analysis, and visualization results from a VPIC trillion particle simulation running on 120,000 cores, which produces similar to 30TB of data for a single timestep. We demonstrate the successful application of H5Part, a particle data extension of parallel HDF5, for writing the dataset at a significant fraction of system peak I/O rates. To enable efficient analysis, we develop hybrid parallel FastQuery to index and query data using multi-core CPUs on distributed memory hardware. We show good scalability results for the FastQuery implementation using up to 10,000 cores. Finally, we apply this indexing/query-driven approach to facilitate the first-ever analysis and visualization of the trillion particle dataset.

关键词： data analysis data visualisation multiprocessing systems parallel processing physics computing plasma applications

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