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共 233 条记录，以下是161-170 订阅

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the parallel framework for the Partial wave analysis 7

The parallel framework for the Partial wave analysis

引用

7th international conference Distributed computing and Gridtechnologies in Science and Education, GRID 2016

作者： Tokareva, V.A. Denisenko, I.I. Department of Colliding Beam Physics Dzhelepov Laboratory of Nuclear Problems Joint Institute for Nuclear Research 6 Joliot-Curie st. Dubna Moscow Region141980 Russia

Partial wave analysis is a fundamental technique for extracting hadron spectra and studing hadron scattering properties. It is employed in some current experiments in particle physics like BES-III, LHCb, COMPASS, and is planned to be employed in future ones like PANDA. the analysis is typically performed using the event-by-event maximum likelihood method for which the calculations for contributions of different amplitudes can be done independently. Large amount of already collected data and planned increase of data flow in future make it especially important to develop the software capable of analysing large sets of information at small times, since currently existing software is either not designed to be scalable for growing data amount, or has significant limitations in its capabilities. the development of high performance computing technologies employing multi-core CPUs, co-processors and GPUs allow to decrease the time needed for data processing. T o accomplish this task the software framework for the partial wave analysis is being developed. It is intended to accelerate the calculations b y using the parallel computing technologies, and to get rid of limitations of currently existing analogs. A t present time the architecture and performance of this framework is being optimized using the J/ψ to pions and kaons decay channel. In this work the development of software realizations employing OpenMP and MPI high performance computing technologies is described. the OpenMP realization w a s tested both on multi-core CPUs and on multi-core Intel Xeon Phi co-processors in the native execution mode. these realizations were studied on various hardware architectures taking into account distinctive features of the task and external software used in the realization. they were tested using the resources of the heterogeneous cluster HybriLIT. the results on calculation speedup and efficiency as well as a comparative analysis of the developed parallel implementations are presen

关键词： Data handling

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Pfortran and co-array fortran as tools for parallelization of a large-scale scientific application 6

引用

6th international European conference on parallel computing, Euro-Par 2000

作者： Bala, Piotr Clark, Terry W. Interdisciplinary Centre for Mathematical and Computational Modelling Warsaw University Pawińskiego 5a Warsaw02-106 Poland Institute of Physics N. Copernicus University Grudziadzka 5/7 Toruń87-100 Poland

ISBN: (纸本)9783540679561

parallelization of scientific applications remains a nontrivial task typically requiring some programmer assistance. Key considerations for candidate parallel programming paradigms are portability, efficiency, and intuitive use, at times mutually exclusive features. In this study two similar parallelization tools, Pfortran and Cray’s Co-Array Fortran, are discussed in the parallelization of Quantum Dynamics, a complex scientific application. © Springer-Verlag Berlin Heidelberg 2000.

关键词： parallel programming

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Scaling of parallel multiple sequence alignment on the supercomputer JUQUEEN

Scaling of parallel multiple sequence alignment on the super...

引用

IEEE international Workshop on Intelligent Data Acquisition and Advanced computing Systems: Technology and applications

作者： Plamenka Borovska Veska Gancheva Soon-Heum Ko Computer Systems Department Technical University of Sofia Bulgaria Programming and Computer Technologies Department Technical University of Sofia Bulgaria National Supercomputing Center Linkoping University Linkoping Sweden

In this paper is proposed optimization, scaling, performance evaluation and profiling of parallel multiple sequence alignment based on ClustalW algorithm on the supercomputer BlueGene/Q, so-called JUQUEEN, for the case study of the influenza virus sequences. For this purpose a parallel I/O interface for simultaneous and independent access to single file collectively has been designed and verified on the basis of parallel program implementation on the supercomputer JUQUEEN.

关键词： Supercomputers Influenza Program processors Performance evaluation Optimization Algorithm design and analysis

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Remote electricity actuation and monitoring mote

Remote electricity actuation and monitoring mote

引用

7th IEEE international conference on Distributed computing in Sensor Systems, DCOSS'11

作者： O'Connell, S. Barton, J. O'Connell, E. O'Flynn, B. Popovici, E. O'Mathuna, S.C. Schoofs, A. Ruzzelli, A. O'Hare, G.M.P. CLARITY: Centre for Sensor Web Technologies Tyndall National Institute UCC Cork Ireland CLARITY: Centre for Sensor Web Technologies School of Computer Science and Informatics University College Dublin Dublin Ireland

ISBN: (纸本)9781457705137

this work presents the design and evaluation of the REAM (Remote Electricity Actuation and Monitoring) node based around the modular Tyndall Mote platform. the REAM node enables the user to remotely actuate power to a mains power extension board while sampling the current, voltage, power and power factor of the attached load. the node contains a current transformer interfaced to an Energy Metering IC which continuously samples current and voltage. these values are periodically read from the part by a PIC24 microcontroller, which calculates the RMS current and voltage, power factor and overall power. the resultant values can then be queried wirelessly employing the Tyndall 802.15.4 compliant wireless module. © 2011 IEEE.

关键词： Electric power factor

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Design and complexity of RESTful Web applications optimisation of simple stateless scenarios

Design and complexity of RESTful Web applications optimisati...

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5th IEEE international conference on Digital Ecosystems and technologies, DEST 2011

作者： Razavi, Amirr Strømmen-Bakhtiar, Abbas Hooti, Sam Krause, Paul Department of Computing FEPS University of Surrey Guildford Surrey GU2 7XH United Kingdom Center for Enterprise Architecture and Information Systems Bodø Graduate School of Business University of Nordland Bodø N-8049 Bodø Norway

ISBN: (纸本)9781457708725

this paper proposes a simple method for measuring the cost of explorative service composition. Based on this measurement two different solutions are proposed for Explorative Service Compositions in a stateless environment: the Eliminative Method and Two-Stage Explorative parallel Composition. Each solution provides certain cost advantages that are dependent on the possibility of search failure of directory and access to services. Each solution is examined and compared according to their actual execution cost, cost during a failure and their potential for concurrency. © 2011 IEEE.

关键词： Quality of service

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Factory: Master Node High-Availability for Big Data applications and Beyond 16th

Factory: Master Node High-Availability for Big Data Applicat...

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16th international conference on Computational Science and Its applications (ICCSA)

作者： Gankevich, Ivan Tipikin, Yuri Korkhov, Vladimir Gaiduchok, Vladimir Degtyarev, Alexander Bogdanov, Alexander St Petersburg State Univ Dept Comp Modelling & Multiprocessor Syst Univ Skaia Emb 7-9 St Petersburg 199034 Russia

ISBN: (纸本)9783319421087

Master node fault-tolerance is the topic that is often dimmed in the discussion of big data processing technologies. Although failure of a master node can take down the whole data processing pipeline, this is considered either improbable or too difficult to encounter. the aim of the studies reported here is to propose rather simple technique to deal with master-node failures. this technique is based on temporary delegation of master role to one of the slave nodes and transferring updated state back to the master when one step of computation is complete. that way the state is duplicated and computation can proceed to the next step regardless of a failure of a delegate or the master (but not both). We run benchmarks to show that a failure of a master is almost "invisible" to other nodes, and failure of a delegate results in recomputation of only one step of data processing pipeline. We believe that the technique can be used not only in Big Data processing but in other types of applications.

关键词： parallel computing Big data processing Distributed computing Backup node State transfer Delegation Cluster computing Fault-tolerance

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Protective laminar composites design optimisation using genetic algorithm and parallel processing

引用

7th international conference on parallel computing technologies, PaCT 2003

作者： Vishnevsky, Mikhail Alexandrovich Koshur, Vladimir Dmitrievich Legalov, Alexander Ivanovich Mirkes, Eugenij Moiseevich Krasnoyarks State Technical University Ul Kirenskogo 26 Krasnoyarsk660074 Russia

ISBN: (纸本)3540406735

We examined the sound wave dissemination model in laminar composite as one-dimensional elastically dissipative system of nodes and ties. this model is defined by the differential equations system. We used the implemented model in composite structure and it’s components widths optimisation. the purpose of optimisation is to make the composite to absorb the ultrasound wave with established frequency. We worked out the genetic algorithm modification which we applied in optimisation. We also used the parallel processing. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Genetic algorithms

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Asynchronous parallel programming language based on the Microsoft .NET platform

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7th international conference on parallel computing technologies (PaCT 2003)

作者： Guzev, V Serdyuk, Y Patrice Lumumba Peoples Friendship Univ Moscow Russia Russian Acad Sci Program Syst Inst Pereslavl Zalesskii Russia

ISBN: (纸本)3540406735

MC# is a programming language for cluster- and GRID-architectures based on asynchronous parallel programming model accepted in Polyphonic C# language (***, ***, ***;Microsoft Research, Cambridge, UK). Asynchronous methods of Polyphonic C# play two major roles in MC#: 1) as autonomous methods executed on remote machines, and 2) as methods used for delivering messages. the former are identified in MC# as the "movable methods", and the latter form a special syntactic class with the elements named "channels". Similar to Polyphonic C#, chords are used for defining the channels and as a synchronization mechanism. the MC# channels are generalised naturally to "bidirectional channels", which may be used both for sending and receiving messages in the movable methods. the runtime-system of MC# has as the basic operation a copying operation for the object which is scheduled for execution on remote machine. this copy is "dead" after the movable method has finished its work, and all changes of this remote copy are not transferred to the original object. Arguments of the movable method are copied together with an original object, but the passing of bidirectional channels is realised through transferring the proxies for such channels. By way of experiments in MC#, we have written a series of parallel programs such as a computation of Fibonacci numbers, walking through binary tree, computation of primes by Eratosthenes sieve, calculation of Mandelbrot set, modeling the Conway's game "Life", etc. In all these cases, we got the easy readable and compact code. Also we have an experimental implementation in which the compiler is written in ***, and the execution of movable methods on remote machines is based on the Reflection library of NET platform.

关键词： Polyphonic C# asynchronous parallel programming movable method channel bidirectional channel

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parallel Methods for Solving Saddle Type Systems 16th

Parallel Methods for Solving Saddle Type Systems

引用

16th international conference on parallel Computational technologies, PCT 2022

作者： Il’in, V.P. Kozlov, D.I. Institute of Computational Mathematics and Mathematical Geophysics SB RAS Novosibirsk Russia Novosibirsk State University Novosibirsk Russia

ISBN: (纸本)9783031116223

parallel methods for solving saddle-type algebraic systems that are relevant for modeling processes and phenomena in the problems of electromagnetism, hydro-gas dynamics, elastoplasticity, filtration and other applications are considered. Preconditioned iterative processes in the Krylov subspaces, including the efficient generalization of the Golub-Kahan-Arioli bidiagonalization method, are investigated as applied to large SLAEs with sparse matrices that arise when approximating multi-dimensional boundary value problems with a complex geometric configuration of computational domains and the contrasting material properties of various media on unstructured grids. It is supposed to store the matrices in compressed formats that require special technologies for working with big data. the parallelization of the proposed class of block algorithms is carried out by means of hybrid programming on supercomputers of a heterogeneous architecture with distributed and hierarchical shared memory, using the means of inter-node message transmission, multi-threaded computing, operation vectorization. A comparative analysis of various algorithmic approaches is carried out on the basis of the estimates of the performance and resource intensity of the corresponding software implementations. © 2022, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Matrix algebra

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Topic 6: Grid, Cluster and Cloud computing (Introduction)

Topic 6: Grid, Cluster and Cloud Computing (Introduction)

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19th international conference on Euro-Par

作者： Laure, Erwin Kao, Odej Badia, Rosa M. Lefevre, Laurent Di Martino, Beniamino Prodan, Radu Turilli, Matteo Warneke, Daniel KTH Royal Institute of Technology Sweden Technische Universität Berlin Germany Barcelona Supercomputing Center CSIC Spain INRIA University of Lyon France Seconda Universitá di Napoli Italy University of Innsbruck Austria University of Oxford United Kingdom International Computer Science Institute Berkeley United States

ISBN: (纸本)9783642400476

Grid and cloud computing have changed the IT landscape in the way we access and manage IT infrastructures. the use of computing resources has become essential for many applications in various areas. Both technologies provide easyto- use and on-demand access to large-scale infrastructures. the high number of submissions to “Topic 6: Grid, Cluster and Cloud computing-reflected the importance of the research area. the papers addressed key challenges regarding design, deployment, operation and use of Grid and cloud infrastructures. Moreover, several innovative algorithms and methods for fundamental capabilities and services that are required in a heterogeneous environment, such as adaptability, scalability, reliability and security, and to support applications as diverse as ubiquitous local services, enterprise-scale virtual organizations, and internet-scale distributed supercomputing were proposed. Finally, many experimental evaluations and use-cases delivered an insight into the deployment in real-world scenarios and showed interesting future application domains. Each submission was reviewed by at least four reviewers and, finally, we were able to select nine high-quality papers. the papers were grouped in four sessions that are briefly summarized in following.

关键词： Cluster computing

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