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检索条件"任意字段=5th International Conference on Algorithms and Architectures for Parallel Processing"

共 3284 条记录，以下是361-370 订阅

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Emotional Contribution Process Implementations on parallel Processors

Emotional Contribution Process Implementations on Parallel P...

引用

11th international conference on algorithms and architectures for parallel processing (ICA3PP)

作者： Dominguez, Carlos Hassan, Houcine Albaladejo, Jose Marco, Maria Crespo, Alfons Univ Politecn Valencia Dept Informat Sistemas & Comp E-46071 Valencia Spain

ISBN: (纸本)9783642246685

An emotional agent software architecture for real-time mobile robotic applications has been developed. In order to allow the agent to undertake more dynamically constrained application problem solving, the processor computation time should be reduced and the gained time is used for executing more complex processes. In this paper, the response time of the operating processes, in each attention cycle of the agent, is decreased by parallelizing the highly parallel processes of the architecture, namely, emotional contribution processes. the implementation of these processes has been evaluated in Field Programmable Gate Array (FPGA) and multicore processors.

关键词： FPGA Multicore Load balancing Robotics Agents Real-time

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Massively parallel Skyline Computation For processing-In-Memory architectures 18

Massively Parallel Skyline Computation For Processing-In-Mem...

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27th IEEE/ACM/IFIP international conference on parallel architectures and Compilation Techniques (PACT)

作者： Zois, Vasileios Gupta, Divya Tsotras, Vassilis J. Najjar, Walid A. Roy, Jean-Francois Univ Calif Riverside Riverside CA 92521 USA UPMEM SAS Grenoble France

ISBN: (纸本)9781450359863

processing-In-Memory (PIM) is an increasingly popular architecture aimed at addressing the 'memory wall' crisis by prioritizing the integration of processors within DRAM. It promotes low data access latency, high bandwidth, massive parallelism, and low power consumption. the skyline operator is a known primitive used to identify those multi-dimensional points offering optimal trade-offs within a given dataset. For large multidimensional dataset, calculating the skyline is extensively compute and data intensive. Although, PIM systems present opportunities to mitigate this cost, their execution model relies on all processors operating in isolation with minimal data exchange. this prohibits direct application of known skyline optimizations which are inherently sequential, creating dependencies and large intermediate results that limit the maximum parallelism, throughput, and require an expensive merging phase. In this work, we address these challenges by introducing the first skyline algorithm for PIM architectures, called DSky. It is designed to be massively parallel and throughput efficient by leveraging a novel work assignment strategy that emphasizes load balancing. Our experiments demonstrate that it outperforms the state-of-the-art algorithms for CPUs and GPUs, in most cases. DSky achieves 2x to 14x higher throughput compared to the state-of-the-art solutions on competing CPU and GPU architectures. Furthermore, we showcase DSky's good scaling properties which are intertwined with PIM's ability to allocate resources with minimal added cost. In addition, we showcase an order of magnitude better energy consumption compared to CPUs and GPUs.

关键词： processing-in-memory skyline queries pareto dominance massive parallelism processing-near-memory load balancing

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Software architecture for a pattern based Question Answering system

Software architecture for a pattern based Question Answering...

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5th ACIS international conference on Software Engineering Reseach, Management and Applications held in Conjuction with 1st international Workshop on Advanced Internet Technology and Applications

作者： Liu Xiaoli Wu Guoqing Jiang Min Yang Min Wang Weiming Wuhan Univ Sch Comp Wuhan 430072 Peoples R China ZTE Corp Shenzhen Peoples R China

ISBN: (纸本)9780769528670

Software architecture is important to software development and it affects the cost and quality of software. Today the diverse Question Answering (QA) system is pervasive, except for simple architectures developed for industry use there is almost no universal software architecture which exists for question answering system, especially for research use. In this paper, we proposed a semantic pattern based user-interactive question answering system and new research-intended software architecture for the question answering system. Here the semantic pattern is used for question and answer analysis to improve the correctness of extracted answers. the architecture of the question answering system is a three dimensional one, with one dimension used for system optimization and experimentation. through the implementation of the architecture, we can clearly comprehend the principles and software architecture of our QA system.

关键词： Software architecture Computer architecture Algorithm design and analysis Software algorithms Pattern analysis Natural language processing Databases Natural languages Software engineering Programming

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PAMIHR. A parallel FORTRAN program for multidimensional quadrature on distributed memory architectures

PAMIHR. A parallel FORTRAN program for multidimensional quad...

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5th international Euro-Par conference

作者： Laccetti, G Lapegna, M Univ Naples Federico II CNR Ctr Res Parallel Comp & Supercomp I-80126 Naples Italy

ISBN: (纸本)3540664432

PAMIHR: a parallel adaptive routine for the approximate computation of a multidimensional integral over a hyperrectangular region is described. the software is designed to efficiently run on a MIMD distributed memory environment, and it's based on the widely diffused communication system BLACS. PAMIHR, further, gives special attention to the problems of scalability and of load balancing among the processes.

关键词： Memory architecture

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Expediting parallel Graph Connectivity algorithms 25

Expediting Parallel Graph Connectivity Algorithms

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25th IEEE international conference on High Performance Computing, Data and Analytics (HiPC)

作者： Wadwekar, Mihir Kothapalli, Kishore Int Inst Informat Technol Hyderabad 500032 India

ISBN: (纸本)9781538683866

Finding whether a graph is k-connected, and the identification of its k-connected components is a fundamental problem in graph theory. For this reason, there have been several algorithms for this problem in both the sequential and parallel settings. Several recent sequential and parallel algorithms for k-connectivity rely on one or more breadth-first traversals of the input graph. While BFS can be made very efficient in a sequential setting, the same cannot be said in the case of parallel environments. A major factor in this difficulty is due to the inherent requirement to use a shared queue, balance work among multiple threads in every round, synchronization, and the like. Optimizing the execution of BFS on many current parallel architectures is therefore quite challenging. For this reason, it can be noticed that the time spent by the current parallel graph connectivity algorithms on BFS operations is usually a significant portion of their overall runtime. In this paper, we study how one can, in the context of algorithms for graph connectivity, mitigate the practical inefficiency of relying on BFS operations in parallel. Our technique suggests that such algorithms may not require a BFS of the input graph but actually can work with a sparse spanning subgraph of the input graph. the incorrectness introduced by not using a BFS spanning tree can then be offset by further post-processing steps on suitably defined small auxiliary graphs. Our experiments on finding the 2, and 3-connectivity of graphs on Nvidia K40c GPUs improve the state-of-the-art on the corresponding problems by a factor 2.2x, and 2.1x respectively.

关键词： Testing parallel algorithms Phase change random access memory Graphics processing units Data structures Synchronization

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Ray-Tracing-Based Geospatial Optimization for Heterogeneous architectures Enhancing Situational Awareness

Ray-Tracing-Based Geospatial Optimization for Heterogeneous ...

引用

IEEE 16th international conference on Computational Science and Engineering (CSE)

作者： Richie, David A. Ross, James A. Park, Song J. Shires, Dale R. Brown Deer Technol Forest Hill MD 21050 USA Dynam Res Corp Andover MA 01810 USA US Army Res Lab Aberdeen Proving Ground MD 21005 USA

ISBN: (纸本)9781479948970

this paper presents the implementation of ray-tracing-based algorithms for multi-objective geospatial optimization targeting various many-core processing technologies such as graphics processing units, x86 multi-cores, and ARM processors. High performance is achieved through highly parallel core algorithms, executed on multiple compute devices across a heterogeneous architecture using low-level OpenCL kernels. algorithms for calculating line-of-sight ballistic threat, visual observability, ground plane extraction, and Markov chain Monte Carlo optimization provide an augmented geospatial intelligence and situational awareness in three-dimensional urban environments.

关键词： GPGPU parallel computing heterogeneous systems line-of-sight geospatial optimization

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FPGA Technology And parallel Computing Towards Automatic Microarray Image processing

FPGA Technology And Parallel Computing Towards Automatic Mic...

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34th international conference on Telecommunications and Signal processing (TSP)

作者： Belean, Bogdan Borda, Monica LeGal, Bertrand Malutan, Raul Tech Univ Cluj Napoca Dept Commun 26-28 George Baritiu St Cluj Napoca 400027 Romania Univ Bordeaux Integrat Materiaux Syst Lab IMS Bordeaux France

ISBN: (纸本)9781457714115

Automation, computational time and cost are open subjects in microarray image processing. the present paper proposes image processing techniques together with their implementations in order to eliminate the shortcomings of the existing software platforms for microarray image processing: user intervention, increased computational time and cost. thus, for each step of microarray image processing, application-specific hardware architectures are designed aiming algorithms parallelization for fast processing. Computational time is estimated and compared with state of the art approaches. the proposed hardware architectures integrated inside microarray scanners deliver microarray image characteristics in an automated manner, excluding the need of an additional software platform. the FPGA technology was chosen for implementation, due to its parallel computation capabilities and ease of reconfiguration.

关键词： Microarray image processing parallel computing

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Optimization of structures using distributed and parallel evolutionary algorithms

引用

5th international conference on parallel processing and Applied Mathematics

作者： Burczynski, T Kus, W Silesian Tech Univ Dept Strength Mat & Computat Mech PL-44100 Gliwice Poland Cracow Univ Technol Inst Comp Modelling Krakow Poland

ISBN: (纸本)3540219463

this paper is devoted to applications of evolutionary algorithms into optimal design of nonlinear structures and identification of holes. the parallel and the distributed evolutionary algorithms are considered. the optimum criterion is to minimize the plastic strain areas and stress values or an identification functional. the fitness functions are computed using the finite element method or the coupled finite and boundary element method.

关键词： Evolutionary algorithms

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Energy-Aware Query processing on a parallel Database Cluster Node 16th

Energy-Aware Query Processing on a Parallel Database Cluster...

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16th international conference on algorithms and architectures for parallel processing (ICA3PP)

作者： Roukh, Amine Bellatreche, Ladjel Tziritas, Nikos Ordonez, Carlos Univ Mostaganem Mostaganem Algeria Univ Poitiers LIAS ISAE ENSMA Poitiers France Chinese Acad Sci Shenzhen Peoples R China Univ Houston Houston TX USA

ISBN: (纸本)9783319495835;9783319495828

In the last few years, we have been seeing a significant increase in research about the energy efficiency of hardware and software components in both centralized and parallel platforms. In data centers, DBMSs are one of the major energy consumers, in which, a large amount of data is queried by complex queries running daily. Having green nodes is a pre-condition to design an energy-aware parallel database cluster. Generally, the most existing DBMSs focus on high-performance during query optimization phase, while usually ignoring the energy consumption of the queries. In this paper, we propose a methodology, supported by a tool called EnerQuery, that makes nodes of parallel database clusters saving energy when optimizing queries. To show its effectiveness, we implement our proposal on the top of PostgreSQL DBMS query optimizer. A mathematical cost model based on a machine learning technique is defined and used to estimate the energy consumption of SQL queries.

关键词： Energy utilization

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Controlled Asynchronous GVT: Accelerating parallel Discrete Event Simulation on Many-Core Clusters 19

Controlled Asynchronous GVT: Accelerating Parallel Discrete ...

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48th international conference on parallel processing (ICPP)

作者： Eker, Ali Williams, Barry Chiu, Kenneth Ponomarev, Dmitry Binghamton Univ Binghamton NY 13902 USA

ISBN: (纸本)9781450362955

In this paper, we investigate the performance of parallel Discrete Event Simulation ( PDES) on a cluster of many-core Intel KNL processors. Specifically, we analyze the impact of different Global Virtual Time (GVT) algorithms in this environment and contribute three significant results. First, we show that it is essential to isolate the thread performing MPI communications from the task of processing simulation events, otherwise the simulation is significantly imbalanced and performs poorly. this applies to both synchronous and asynchronous GVT algorithms. Second, we demonstrate that synchronous GVT algorithm based on barrier synchronization is a better choice for communication-dominated models, while asynchronous GVT based on Mattern's algorithm performs better for computation-dominated scenarios. third, we propose Controlled Asynchronous GVT (CA-GVT) algorithm that selectively adds synchronization to Mattern-style GVT based on simulation conditions. We demonstrate that CA-GVT outperforms both barrier and Mattern's GVT and achieves about 8% performance improvement on mixed computation-communication models. this is a reasonable improvement for a simple modification to a GVT algorithm.

关键词： parallel Discrete Event Simulation Intel Xeon Phi Knights Landing Manycore architectures Performance Global Virtual Time

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