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检索条件"任意字段=8th International Conference on Algorithms and Architectures for Parallel Processing"

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Performance evaluation of OpenMP and CUDA on multicore systems

Performance evaluation of OpenMP and CUDA on multicore syste...

引用

12th international conference on algorithms and architectures for parallel processing, ICA3PP 2012

作者： Yang, Chao-Tung Chang, Tzu-Chieh Huang, Kuan-Lung Liu, Jung-Chun Chang, Chih-Hung Department of Computer Science Tunghai University Taichung City 40704 Taiwan Department of Information Management Hsiuping University of Science Technology Taichung City 41280 Taiwan

ISBN: (纸本)9783642330643

Nowadays, not only CPU but also GPU goes along the trend of multi-core processors. parallel processing presents not only an opportunity but also a challenge at the same time. To explicitly parallelize the software by programmers or compilers is the key for enhancing the performance on multi-core chip. In this paper, we first introduce some of the automatic parallel tools based OpenMP, which could save the time to rewrite codes for parallel processing on multicore system. then we focus on ROSE and explore it in depth. And we also implement an interface to reduce its complexity of use and use some automatic parallelization for CUDA. © 2012 Springer-Verlag.

关键词： parallel programming

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parallel Implementation and Scalability of Cloud Resolving EULAG Model

Parallel Implementation and Scalability of Cloud Resolving E...

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9th international conference on parallel processing and Applied Mathematics (PPAM)

作者： Wyszogrodzki, Andrzej A. Piotrowski, Zbigniew P. Grabowski, Wojciech W. Natl Ctr Atmospher Res Boulder CO 80307 USA

ISBN: (纸本)9783642314995;9783642315008

Progress in the development of the PetaScale implementation of the anelastic EULAG model combined with the warm-rain bulk and bin microphysics schemes, as well its application to multiscale cloud modeling, are presented. A new three-dimensional (3D) model domain decomposition is implemented to increase model performance and scalability. We investigate performance of the code on IBM BlueGene/L and Cray XT4/XE6 architectures. the scalability results show significant improvement of the new domain decomposition over the previous 2D decomposition used as the standard in many geophysical fluid flow models.

关键词： Cloud resolving models parallel performance large eddy simulations

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Performance measurement of parallel Vlasov code for space plasma on various scalar-type supercomputer systems

Performance measurement of parallel Vlasov code for space pl...

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12th international conference on algorithms and architectures for parallel processing, ICA3PP 2012

作者： Umeda, Takayuki Fukazawa, Keiichiro Solar-Terrestrial Environment Laboratory Nagoya University Nagoya 464-8601 Japan Research Institute for Information Technology Kyushu University Fukuoka 812-8581 Japan

ISBN: (纸本)9783642330773

Computer simulations with the first-principle (kinetic) model are essential for studying multi-scale processes in space plasma. We develop numerical schemes for Vlasov simulations for practical use on currently-existing supercomputer systems. the weak-scaling benchmark test shows that our parallel Vlasov code achieves a high performance and a high scalability. Currently, we use more than 1000 cores for parallel computations and apply the present parallel Vlasov code to various cross-scale processes in space plasma, such as a first-principle global simulation of solar-wind-magnetosphere interactions. © 2012 Springer-Verlag.

关键词： Supercomputers

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A parallel Space-Time Finite Difference Solver for Periodic Solutions of the Shallow-Water Equation

A Parallel Space-Time Finite Difference Solver for Periodic ...

引用

9th international conference on parallel processing and Applied Mathematics (PPAM)

作者： Arbenz, Peter Hiltebrand, Andreas Obrist, Dominik Swiss Fed Inst Technol Chair Computat Sci Zurich Switzerland Swiss Fed Inst Technol Seminar Appl Math Zurich Switzerland Swiss Fed Inst Technol Inst Fluid Dynam Zurich Switzerland

ISBN: (纸本)9783642314995;9783642315008

We investigate parallel algorithms for the solution of the shallow-water equation in a space-time framework. For periodic solutions, the discretized problem can be written as a large cyclic non-linear system of equations. this system of equations is solved with a Newton iteration which uses two levels of preconditioned GMRES solvers. the parallel performance of this algorithm is illustrated on a number of numerical experiments.

关键词： Iterative methods

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Password Recovery Using MPI and CUDA

Password Recovery Using MPI and CUDA

引用

19th international conference on High Performance Computing (HiPC)

作者： Apostal, David Foerster, Kyle Chatterjee, Amrita Desell, Travis Univ North Dakota Dept Comp Sci Grand Forks ND 58201 USA Univ North Dakota Dept Elect Engn Grand Forks ND USA

ISBN: (纸本)9781467323703;9781467323727

Using passwords to verify a user's identity is the most widely deployed method for electronic authentication. When system administrators need to recover lost passwords or test accounts for easily guessable passwords, it can require millions of hash function and string comparison operations. these operations can be computationally expensive but are easily parallelizable because each password can be tested independently. therefore, using high performance computing (HPC) can greatly reduce the time required to perform password recovery. Due to the high level of fine-grained parallelism of this type of problem, GPU computing using Compute Unified Device Architecture (CUDA) can be used to further improve performance. the scale of HPC can be further increased through the use of multiple GPUs, but this requires communication between the GPU devices and can reduce the overall performance due to increased communications latency. In this work a well established HPC framework, Message Passing Interface (MPI), was used to minimize the amount of latency and handle the communication between the devices. this allowed for a course-grained division of the problem using MPI where each device applies a fine-grained division of the problem using CUDA to perform the actual calculations. this paper describes three dictionary-based password recovery algorithms that use both MPI and CUDA. In this approach the hashed values of known words are computed and compared with hash values of unknown user passwords. the algorithms differed in GPU memory utilization and how the data was divided and distributed among the MPI nodes and GPU devices. A divided dictionary algorithm split the dictionary of potential passwords over the GPUs and copied the password database to each GPU. A divided password database algorithm split the password database and copied the potential passwords. A minimal memory algorithm split the password database and sequentially processed individual passwords on the GPUs. the div

关键词： application program interfaces database management systems graphics processing units message passing parallel architectures security of data storage management

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the KNOWLEDGESTORE: an Entity-Based Storage System 8

The KNOWLEDGESTORE: an Entity-Based Storage System

引用

8th international conference on Language Resources and Evaluation (LREC)

作者： Cattoni, R. Corcoglioniti, F. Girardi, C. Magnini, B. Serafini, L. Zanoli, R. Fdn Bruno Kessler I-38123 Trento Italy

ISBN: (纸本)9782951740877

this paper describes the KNOWLEDGESTORE, a large-scale infrastructure for the combined storage and interlinking of multimedia resources and ontological knowledge. Information in the KNOWLEDGESTORE is organized around entities, such as persons, organizations and locations. the system allows (i) to import background knowledge about entities, in form of annotated RDF triples;(ii) to associate resources to entities by automatically recognizing, coreferring and linking mentions of named entities;and (iii) to derive new entities based on knowledge extracted from mentions. the KNOWLEDGESTORE builds on state of art technologies for language processing, including document tagging, named entity extraction and cross-document coreference. Its design provides for a tight integration of linguistic and semantic features, and eases the further processing of information by explicitly representing the contexts where knowledge and mentions are valid or relevant. We describe the system and report about the creation of a large-scale KNOWLEDGESTORE instance for storing and integrating multimedia contents and background knowledge relevant to the Italian Trentino region.

关键词： LR Infrastructures and architectures Knowledge Discovery/Representation Metadata

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Extracting Directional and Comparable Corpora from a Multilingual Corpus for Translation Studies 8

Extracting Directional and Comparable Corpora from a Multili...

引用

8th international conference on Language Resources and Evaluation (LREC)

作者： Cartoni, Bruno Meyer, thomas Univ Geneva Dept Linguist 2 Rue Candolle CH-1211 Geneva Switzerland Idiap Res Inst CH-1920 Martigny Switzerland

ISBN: (纸本)9782951740877

Translation studies rely more and more on corpus data to examine specificities of translated texts, that can be translated from different original languages and compared to original texts. In parallel, more and more multilingual corpora are becoming available for various natural language processing tasks. this paper questions the use of these multilingual corpora in translation studies and shows the methodological steps needed in order to obtain more reliably comparable sub-corpora that consist of original and directly translated text only. Various experiments are presented that show the advantage of directional sub-corpora.

关键词： parallel corpora comparable corpora translation studies

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Fast Multiple Scattering in Participating Media with Beamlet Decomposition

Fast Multiple Scattering in Participating Media with Beamlet...

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8th international conference on Computational Intelligence and Security (CIS)

作者： Wang, Yuanlong Guo, Ping Beijing Normal Univ Image Proc & Pattern Recognit Lab Beijing 100875 Peoples R China

ISBN: (纸本)9780769548968;9781467347259

We propose a fast algorithm which is based on the beamlet decomposition for real-time rendering of scenes in participating media with multiple scattering. Firstly, the light source radiation is considered as composed by all particles in the media and each particle radiation is decomposed along different forward directions using the plane decomposition method. then the multiple scattering radiation of one particle is calculated by the decomposition radiations from its adjacent particles and the light source. Finally, according to the multiple scattering radiation value of each particle, the radiation of the ray which is from viewpoint is calculated using ray marching method, which can be implemented on the graphics processing unit (GPU), and rendering process is highly parallel. the experimental results show that the algorithm can achieve real-time rendering efficiency and enhance the practicality of multiple scattering.

关键词： Participating media Ray tracing parallel computing Multiple scattering Beamlet decomposition

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A multi-GPU programming library for real-time applications

A multi-GPU programming library for real-time applications

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12th international conference on algorithms and architectures for parallel processing, ICA3PP 2012

作者： Schaetz, Sebastian Uecker, Martin BiomedNMR Forschungs GmbH Max Planck Institute for Biophysical Chemistry Goettingen Germany Department of Electrical Engineering and Computer Sciences University of California Berkeley CA United States

ISBN: (纸本)9783642330773

We present MGPU, a C++ programming library targeted at single-node multi-GPU systems. Such systems combine disproportionate floating point performance with high data locality and are thus well suited to implement real-time algorithms. We describe the library design, programming interface and implementation details in light of this specific problem domain. the core concepts of this work are a novel kind of container abstraction and MPI-like communication methods for intra-system communication. We further demonstrate how MGPU is used as a framework for porting existing GPU libraries to multi-device architectures. Putting our library to the test, we accelerate an iterative non-linear image reconstruction algorithm for real-time magnetic resonance imaging using multiple GPUs. We achieve a speed-up of about 1.7 using 2 GPUs and reach a final speed-up of 2.1 with 4 GPUs. these promising results lead us to conclude that multi-GPU systems are a viable solution for real-time MRI reconstruction as well as signal-processing applications in general. © 2012 Springer-Verlag.

关键词： Graphics processing unit

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Bit-parallel Multiple Pattern Matching

Bit-Parallel Multiple Pattern Matching

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9th international conference on parallel processing and Applied Mathematics (PPAM)

作者： Tuan Tu Tran Giraud, Mathieu Varre, Jean-Stephane Univ Lille 1 LIFL UMR CNRS 8022 F-59655 Villeneuve Dascq France INRIA Lille F-59655 Villeneuve Dascq France

ISBN: (纸本)9783642314995;9783642315008

Text matching with errors is a regular task in computational biology. We present an extension of the bit-parallel Wu-Manber algorithm [16] to combine several searches for a pattern into a collection of fixed-length words. We further present an OpenCL parallelization of a redundant index on massively parallel multicore processors, within a framework of searching for similarities with seed-based heuristics. We successfully implemented and ran our algorithms on GPU and multicore CPU. Some speedups obtained are more than 60x.(1)

关键词： bit parallelism pattern matching sequence comparison neighborhood indexing GPU OpenCL

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