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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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Application of Stacked Methods to Part-of-Speech Tagging of Polish

Application of Stacked Methods to Part-of-Speech Tagging of ...

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8th international conference on parallel processing and Applied Mathematics

作者： Kuta, Marcin Wojcik, Wojciech Wrzeszcz, Michal Kitowski, Jacek AGH Univ Sci & Technol Inst Comp Sci Krakow Poland

ISBN: (纸本)9783642143892

We compare the accuracy of several single and combination part-of-speech tagging methods applied to Polish and evaluated on the modified corpus of Frequency Dictionary of Contemporary Polish (m-FDCP). three well known combination methods (weighted voting, distributed voting, and stacked) are analyzed, as well as two new weighted voting methods: MorphCatPrecision and AmbClassPrecision methods are proposed. the MorphCatPrecision method achieves the highest accuracy among all considered weighted voting methods. the best combination method achieves 11.9% error reduction with respect to the best baseline tagger. We report also the statistical significance of the difference in accuracy between various methods measured by means of the McNemar test. Selection of the best algorithms was conducted on a multiprocessor supercomuter due to the high time and memory requirements of most of these algorithms.

关键词： part-of-speech tagging weighted voting taggers distributed voting taggers stacked taggers natural language processing

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Query Optimization over parallel Relational Data Warehouses in Distributed Environments by Simultaneous Fragmentation and Allocation

Query Optimization over Parallel Relational Data Warehouses ...

引用

10th international conference on algorithms and architectures for parallel processing

作者： Bellatreche, Ladjel Cuzzocrea, Alfredo Benkrid, Soumia Univ Poitiers LISI ENSMA Futuroscope France Univ Calabria ICAR CNR Cosenza Italy ESI Natl High Sch Comp Sci Algiers Algeria

ISBN: (纸本)9783642131189

parallel database technology has already shown its efficiency in supporting high-performance Online Analytical processing (OLAP) applications. this scenario implies achieving query optimization over relational Data Warehouses (RDW) on top of which typical OLAP functionalities, such as roll-up, drill-down and aggregate query answering, can be implemented. As a result, it follows the emerging need for a comprehensive methodology able to support the design of RDW over parallel and distributed environments in all the phases, including data partitioning, fragment allocation, and data replication. Existing design approaches have an important limitation: fragmentation and allocation phases are performed in an isolated manner. In order to overcome this limitation, in this paper we propose a new methodology for designing parallel RDW over distributed environments, for query optimization purposes. the methodology is illustrated on database clusters, as a noticeable case of distributed environments. Contrary to state-of-the-art approaches where allocation is performed after fragmentation, in our approach we propose allocating fragments just during the partitioning phase. Also, a naive replication algorithm that takes into account the heterogeneous characteristics of our reference architecture is proposed.

关键词： Data warehouses

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SV: Enhancing SIMD architectures via Combined SIMD-Vector Approach

SV: Enhancing SIMD Architectures via Combined SIMD-Vector Ap...

引用

10th international conference on algorithms and architectures for parallel processing

作者： Huang, Libo Wang, Zhiying Natl Univ Def Technol Sch Comp Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9783642131189

SIMD architectures are ubiquitous in general purpose and embedded processors to achieve future multimedia performance goals. However, limited to on chip resources and off-chip memory bandwidth, current SIMD extension only works on short sets of SIMD elements. this leads to large parallelization overhead for small loops in multimedia applications such as loop handling and address generation. this paper presents SIMD-Vector (SV) architecture to enhance SIMD parallelism exploration. It attempts to gain the benefits of both SIMD instructions and more traditional vector instructions which work on numerous values. Several instructions are extended that allows the programmer to work on large vectors of data and those large vectors are executed on a smaller SIMD hardware by a loop controller. To preserve the register file size for holding much longer vectors, we introduce a technique that the long vector references are performed on only one SIMD register in many iterations. We provide a detailed description of the SV architecture and its comparison with traditional vector architecture. We also present a quantitative analysis of the dynamic instruction size decrease and performance improvement of SV architecture.

关键词： SIMD vector performance loop

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Stream processing on GPUs Using Distributed Multimedia Middleware

Stream Processing on GPUs Using Distributed Multimedia Middl...

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8th international conference on parallel processing and Applied Mathematics

作者： Repplinger, Michael Slusallek, Philipp Univ Saarland Comp Graph Lab D-6600 Saarbrucken Germany

ISBN: (纸本)9783642143892

Available GPUs provide increasingly more processing power especially for multimedia and digital signal processing. Despite the tremendous progress in hardware and thus processing power, there are and always will be applications that require using multiple GPUs either running inside the same machine or distributed in the network due to computational intensive processing algorithms. Existing solutions for developing applications for GPUs still require a lot of hand-optimization when using multiple GPUs inside the same machine and provide in general no support for using remote GPUs distributed in the network. In this paper we address tins problem and show that an open distributed multimedia middleware, like the Network-Integrated Multimedia Middleware (NMM), is able (1) to seamlessly integrate processing components using GPUs while completely hiding GPU specific issues from the application developer, (2) to transparently combine processing components using GPUs or CPUs, and (3) to transparently use local and remote GPUs for distributed processing.

关键词： Middleware

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parallel Longest Increasing Subsequences in Scalable Time and Memory

Parallel Longest Increasing Subsequences in Scalable Time an...

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8th international conference on parallel processing and Applied Mathematics

作者： Krusche, Peter Tiskin, Alexander Univ Warwick DIMAP Coventry CV4 7AL W Midlands England Univ Warwick Dept Comp Sci Coventry CV4 7AL W Midlands England

ISBN: (纸本)9783642143892

the longest increasing subsequence (LIS) problem is a classical problem in theoretical computer science and mathematics. Most existing parallel algorithms for this problem have very restrictive slackness conditions which prevent scalability to large numbers of processors. Other algorithms are scalable, but not work-optimal w.r.t. the fastest sequential algorithm for the LIS problem, which runs in time O(n log n) for in numbers in the comparison-based model. In this paper, we propose a new parallel algorithm for the US problem. Our algorithm solves the more general problem of semi-local comparison of permutation strings of length it in time O(n(1.5)/p) on p processors, has scalable communication cost of O(n/ root p) and is synchronisation-efficient. Furthermore, we achieve scalable memory cost, requiring O(n/ root p) of storage on each processor. When applied to LIS computation, this algorithm is superior to previous approaches since computation, communication, and memory costs are all scalable.

关键词： parallel algorithms

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parSC: Synchronous parallel SystemC simulation on multi-core host architectures 10

parSC: Synchronous parallel SystemC simulation on multi-core...

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Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis

作者： Schumacher, Christoph Leupers, Rainer Petras, Dietmar Hoffmann, Andreas Institute for Integrated Signal Processing Systems RWTH Aachen University Germany Synopsys Inc. Aachen Germany

ISBN: (纸本)9781605589053

Time-consuming cycle-accurate MPSoC simulation is often needed for debugging and verification. Its practicability is put at risk by the growing MPSoC complexity. this work presents a conservative synchronous parallel simulation approach along with a SystemC framework to accelerate tightly-coupled MPSoC simulations on multi-core hosts. Key contribution is the implementation strategy, which utilizes techniques from the high-performance computing domain. Results show speed-ups of up to 4.4 on four host cores.

关键词： System-on-chip

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A parallel programming framework for multi-core DNA sequence alignment

A parallel programming framework for multi-core DNA sequence...

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4th international conference on Complex, Intelligent and Software Intensive Systems (CICIS)

作者： Almeida, Tiago Roma, Nuno Univ Tecn Lisboa IST INESC ID Lisbon Portugal

ISBN: (纸本)9780769539676

A new parallel programming framework for DNA sequence alignment in homogeneous multi-core processor architectures is proposed. Contrasting with traditional coarse-grained parallel approaches, that divide the considered database in several smaller subsets of complete sequences to be aligned with the query sequence, the presented methodology is based on a slicing procedure of both the query and the database sequence under consideration in several tiles/chunks that are concurrently processed by the several cores available in the multi-core processor. the obtained experimental results have proven that significant accelerations of traditional biological sequence alignment algorithms can be obtained, reaching a speedup that is linear with the number of available processing cores and very close to the theoretical maximum.

关键词： Multi-core processor parallel programming Computational biology framework

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Self-Organizing Networks: State-of-the-Art, Challenges and Perspectives

Self-Organizing Networks: State-of-the-Art, Challenges and P...

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8th international conference on Communications

作者： Marchetti, Nicola Prasad, Neeli Rashmi Johansson, Johan Cai, Tao Aalborg Univ Ctr TeleInFrastruktur Aalborg Denmark Huawei Technol AB Kista Sweden

ISBN: (纸本)9781424463633

In this paper, a general overview of Self-Organizing Networks (SON), and the rationale and state-of-the-art of wireless SON are first presented. the technical and business requirements are then briefly treated, and the research challenges within the field of SON are highlighted. thereafter, the relation between SON and Cognitive Networks (CN) is covered. At last, the application of Algorithmic Information theory (AIT) as a possible theoretical tool to support SON in addressing the growing complexity of networks is discussed.

关键词： parallel processing systems

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parallel Implementation of a Steady State thermal and Hydraulic Analysis of Pipe Networks in OpenMP

Parallel Implementation of a Steady State Thermal and Hydrau...

引用

8th international conference, PPAM 2009

作者： Fedorov, Mykhaylo W Pomeranian Univ Technol Dept Comp Sci PL-70210 Szczecin Poland

ISBN: (纸本)9783642144028

the considerable computation time of a practical application of sequential algorithms for simulating thermal and flow distribution in pipe networks is the motivating factor to study their parallel implementation the mathematical model formulated and studied in the paper requires the solution of a set of nonlinear equations, which are solved by the Newton-Raphson method An object-oriented solver automatically formulates the equations for networks of an arbitrary topology the hydraulic model that is chosen as a benchmark consists of nodal flows and loop equations A general decomposition algorithm for analysis of flow and temperature distribution in a pipe network is presented, and results of speedup of its parallel implementation are demonstrated

关键词： pipe networks steady state flow and thermal analysis parallel implementation OpenMP

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16th international Euro-Par conference on parallel processing, Euro-Par 2010

16th International Euro-Par Conference on Parallel Processin...

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16th international Euro-Par conference on parallel processing, Euro-Par 2010

ISBN: (纸本)9783642152764

the proceedings contain 104 papers. the special focus in this conference is on parallel processing. the topics include: A parallel implementation of the Jacobi-Davidson eigensolver and its application in a plasma turbulence code;scheduling parallel eigenvalue computations in a quantum chemistry code;Scalable parallelization strategies to accelerate NuFFT data translation on multicores;multicore and Manycore Programming;javaSymphony: A programming and execution environment for parallel and distributed many-core architectures;scalable producer-consumer pools based on elimination-diffraction trees;productivity and performance: Improving consumability of hardware transactional memory through a real-world case study;exploiting fine-grained parallelism on cell processors;optimized on-chip-pipelined mergesort on the cell/B.E.;transactional mutex locks;Near-optimal placement of MPI processes on hierarchical NUMA architectures;parallel enumeration of shortest lattice vectors;A parallel GPU algorithm for mutual information based 3D nonrigid image registration;Multi-GPU and multi-CPU parallelization for interactive physics simulations;Long DNA sequence comparison on multicore architectures;adaptive fault tolerance for many-core based space-borne computing;Maestro: Data orchestration and tuning for openCL devices;multithreaded Geant4: Semi-automatic transformation into scalable thread-parallel software;parallel exact time series motif discovery;optimized dense matrix multiplication on a many-core architecture;exceptions for algorithmic skeletons;a language-based tuning mechanism for task and pipeline parallelism;A study of a software cache implementation of the OpenMP memory model for multicore and manycore architectures;Programming CUDA-based GPuS to simulate two-layer shallow water flows;theory and algorithms for parallel computation;analysis of multi-organization scheduling algorithms;Area-maximizing schedules for series-parallel DAGs;parallel Selection by Regular Sampling;a

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