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检索条件"任意字段=7th International Conference on Parallel and Distrubuted Computing, Applications and Technologies"

共 233 条记录，以下是81-90 订阅

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A Spark-based parallel framework for geospatial raster data processing 7

A Spark-based parallel framework for geospatial raster data ...

引用

7th international conference on Agro-Geoinformatics (Agro-Geoinformatics)

作者： Gao, Fan Yue, Peng Wuhan Univ Sch Remote Sensing & Informat Engn 129 Luoyu Rd Wuhan 430079 Hubei Peoples R China

ISBN: (纸本)9781538650394

With the rapid development of geospatial sensor technologies in recent years, the acquisition of higher resolution of spatial and temporal data is becoming common, resulting in an explosive increase in the volume of geospatial data. Meanwhile, the sophistication and complexity of geospatial algorithms is also increasing. the current geospatial applications often have limited capabilities in dealing with the trend. In this paper, we proposed a Spark-based parallel framework for geospatial raster data processing. the framework provides a parallel processing way for both a single high-resolution remote sensing image with large size using a RsImage model and multiple remote sensing images with small size using a RsBundleImage model. Taking the edge extraction from remote sensing images as an example, the paper demonstrates how the framework can improve the efficiency of the Canny edge detector by achieving the ratio of speedup up to 7.0 similar to 8.0.

关键词： Spark RsImage model RsBundleImage model

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Applying Web Crawler technologies for Compiling parallel Corpora as one Stage of Natural Language Processing 7

Applying Web Crawler Technologies for Compiling Parallel Cor...

引用

7th international conference on Computer Science and Engineering, UBMK 2022

作者： Abdurakhmonovaa, Nilufar Alisher, Ismailov Toirovaa, Guli National University of Uzbekistan Uzbek Linguistics Department Tashkent Uzbekistan AAndijan Machine Building Institute Innovative Educational Department Andijan Uzbekistan Bukhara State University Uzbek Linguistics Department Bukhara Uzbekistan

ISBN: (数字)9781665470100

ISBN: (纸本)9781665470100

over the past decade, the amount of information on the internet has increased. A large amount of unstructured data, referred to as big data on the web, has been created. Finding and extracting data on the internet is called information retrieval. In the search for information, there are web crawler tools, which are a program that scans information on the internet and downloads web documents automatically. Search robot applications can be used in various fields, such as news, finance, medicine, etc. In this article, we will discuss the basic principle and characteristics of search engines as an example to build parallel corpora, as well as the classification of modern popular crawlers, strategies and current applications of crawlers. Finally, we will end this article with a discussion of future directions for research on crawlers. © 2022 IEEE.

关键词： Search engines

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Synthesis of Serving Policies for Objects Flow in the System with Refillable Storage Component 7

Synthesis of Serving Policies for Objects Flow in the System...

引用

7th international conference Internet technologies and applications (ITA)

作者： Fedosenko, Yuriy S. Miroshina, Anastasia S. Pudov, Andrey S. Plekhov, Aleksandr S. Chakirov, Roustiam Houlden, Nigel Volga State Univ Water Transportat 5 Nesterov St Nizhnii Novgorod 603005 Russia Alekseev Nizhny Novgorod State Tech Univ 24 Minin St Nizhnii Novgorod 603155 Russia Bonn Rhein Sieg Univ Appl Sci 20 Grantham Allee D-53757 St Augustin Germany Glyndwr Univ Mold Rd Wrexham LL11 2AW Wales

ISBN: (纸本)9781509048151

this paper discusses the solution of the logistic problem occurred in a management system to supply fuel to inhabitants in the Arctic regions using bulk water transport delivery. the suggested mathematical model of a logistic scheme is designed in the form of uniprocessor system with refillable storage component providing a single stage service of deterministic objects flow. the task scheduling optimisation problem is formulated in the way where service policies are estimated by two independent minimised criteria. Proposed synthesis algorithm of Pareto-efficient service policies utilises a bicriterial approach of dynamic programming. the algorithm has been verified by the simulation example.

关键词： massively parallel calculations dynamic programming dispatching problem calculations modelling discrete optimisation

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Design and implementation of a cost-optimal parallel tridiagonal system solver using skeletons

引用

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

作者： Bischof, H Gorlatch, S Kitzelmann, E Tech Univ Berlin Berlin Germany

ISBN: (纸本)3540406735

We address the problem of systematically designing correct parallel programs and developing their efficient implementations on parallel machines. the design process starts with an intuitive, sequential algorithm and proceeds by expressing it in terms of well-defined, pre-implemented parallel components called skeletons. We demonstrate the skeleton-based design process using the tridiagonal system solver as our example application. We develop step by step three provably correct, parallel versions of our application, and finally arrive at a cost-optimal implementation in MPI (Message Passing Interface). the performance of our solutions is demonstrated experimentally on a Cray T3E machine.

关键词： Message passing

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Software carry-save: A case study for instruction-level parallelism

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

作者： Defour, D de Dinechin, F Ecole Normale Super Lyon F-69364 Lyon France

ISBN: (纸本)3540406735

this paper is a practical study of the performance impact of avoiding data-dependencies at the algorithm level, when targeting recent deeply pipelined, superscalar processors. We are interested in multiple-precision libraries offering the equivalent of quad-double precision. We show that a combination of today's processors, today's compilers, and algorithms written in C using a data representation which exposes parallelism, is able to outperform the reference GMP library which is partially written in assembler. We observe that the gain is related to a better use of the processor's instruction parallelism.

关键词： parallel processing systems

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Equipartitioning versus marginal analysis for parallel job scheduling

Equipartitioning versus marginal analysis for parallel job s...

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4th international conference on parallel and Distributed computing, applications and technologies (PDCAT 2003)

作者： Patrick, BG Jack, M Trent Univ Peterborough ON K9J 7B8 Canada

ISBN: (纸本)0780378407

Given n malleable and non-preemptable parallel jobs that arrive for execution at time 0, we examine and compare two job scheduling strategies that allocate m identical processors among the n competing jobs. In all cases, n less than or equal to m. the first strategy is based on the heuristic paradigm of equipartitioning, and the second is based on the notion of marginal analysis. Equipartitioning uses no a priori information when processor allocations are made to parallel jobs. Marginal analysis, on the other hand, assumes full a priori information in order to maximize processor utility. In this paper, we compare both strategies with respect to average time-to-completion (system performance) and overall time-to-completion (system efficiency). Using a simple job model characterized by sequential time-to-completion and degree of parallelism, it is demonstrated via simulation that in most cases, the uninformed strategy of equipartitioning outperforms marginal analysis with respect to system performance and without a commensurate degradation in system efficiency.

关键词： job scheduling parallel computation performance evaluation simulation

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Strengthening Healthcare Cybersecurity by Optimizing Adversarial Attack Defences in Deep Learning Models using GPU and parallel Processing technologies 7

Strengthening Healthcare Cybersecurity by Optimizing Adversa...

引用

7th international conference on Circuit Power and computing technologies, ICCPCT 2024

作者： Venugopal, Hridya Christo, Mary Subaja Kattankulathur Campus SRM Institute of Science and Technology Department of Networking and Communications Tamilnadu Chengalpattu603203 India

ISBN: (纸本)9798350372816

In healthcare, safeguarding patient data integrity is paramount, necessitating robust deep learning models. this research focuses on bolstering the cyber security defenses of these models, particularly against adversarial attacks, through the application of the Localized Adversarial Feature Attack (LAFEAT) technique. Leveraging Graphics Processing Units (GPU) and the TensorFlow framework, the study explores algorithmic enhancements like the Fast Gradient Sign Method (FGSM) and Model-Agnostic Meta-Learning (MAML). these techniques perturb input data gradients or adapt model parameters, enhancing resilience against adversarial perturbations. Additionally, Particle Swarm Optimization (PSO), a metaheuristic optimization technique, is examined to fortify defense mechanisms further. parallel processing techniques, utilizing parallel GPU or distributed clusters, are implemented to expedite the optimization process, reducing computational burdens and enhancing scalability. Despite advancements, gaps remain in understanding how these models can be optimized for real-world healthcare applications, particularly in terms of balancing computational efficiency and robustness. the research demonstrates tangible benefits, with a significant 10% increase in success rates against adversarial attacks compared to baseline methods. Moreover, parallel processing implementation results in a 30% reduction in optimization time, improving the efficiency of cyber security defenses for deep learning models in healthcare. these numerical enhancements underscore the research's value in fortifying healthcare systems against adversarial threats, ensuring the security and integrity of patient data while addressing existing gaps in the optimization of adversarial defenses in healthcare applications. the strengths of this research lie in its robust adversarial attack optimization techniques, integration of parallel processing for efficiency, and application to critical healthcare tasks. Comprehensive

关键词： Graphics processing unit

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Optimization of the communications between processors in a general parallel computing approach using the selected data technique

引用

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

作者： Bolvin, H Chambarel, A Fougere, D Gladkikh, P Fac Sci Lab Complex Hydrodynam F-84000 Avignon France L3M Lab Modeling Mech F-13451 Marseille 20 France Russian Acad Sci ICM Supercomp Software Dept Novosibirsk 630090 Russia Russian Acad Sci SB MG Novosibirsk 630090 Russia

ISBN: (纸本)3540406735

A large variety of problems that are out of reach of single processor computer capabilities. Many approaches are offered today to get round this. Each of these has its own strengths and weaknesses : a compromise has to be found. We will introduce a general parallel computing method for engineering problems dedicated to all users. We have searched an easy method for code development. A technique of data selection (Selected Data Technique - SDT) is used for the determination of the data dedicated to each processor. Several problems associated with the communication times are posed and solutions are proposed in accordance with the number of processors. this method is applied to very large CPU cost problems, particularly the unsteady problems or steady problems using an iterative method. So the domain of potential applications is very wide. the SDT-parallelization is performed by an expert system called AMS (Automatic Multi-grid System) included in the software. this new concept is a natural way for the standardization of parallel codes. An example is presented hereafter.

关键词： parallel processing systems

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Short-circuit faults in high-speed PM machines with parallel strands and coils

Short-circuit faults in high-speed PM machines with parallel...

引用

7th IET international conference on Power Electronics, Machines and Drives, PEMD 2014

作者： Van Der Geest, M. Polinder, H. Ferreira, J.A. Delft University of Technology Netherlands

ISBN: (纸本)9781849198158

Electrical machines for safety critical applications need to be able to withstand all possible short-circuits, including those between individual turns. In high-speed machines multiple parallel strands may be used to reduce AC losses in the winding, increasing the likelihood of a turn-level short-circuit. this paper considers the consequences of using parallel strands on the short-circuit losses. Additionally, the effect of using a PWM voltage supply is also considered. It is found that using multiple parallel strands reduces the local losses that occur during a short-circuit, but at the same time slightly increases the total losses. Also, local fault currents can be reduced better with a remedial terminal short-circuit when using parallel strands, suggesting a small safety benefit. the effect of supply voltage harmonics on the maximum short-circuit losses is found to be negligible.

关键词： Timing circuits

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GPU based parallel Image Processing Library for Embedded Systems

GPU based Parallel Image Processing Library for Embedded Sys...

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9th international conference on Computer Vision theory and applications (VISAPP)

作者： Cavus, Mustafa Sumerkan, Hakki Doganer Simsek, Osman Seckin Hassan, Hasan Yaglikci, Abdullah Giray Ergin, Oguz TOBB Univ Econ & Technol Ankara Turkey

ISBN: (纸本)9789897581335

Embedded image processing systems have many challenges, due to large computational requirements and other physical, power, and environmental constraints. However recent contemporary mobile devices include a graphical processing unit (GPU) in order to offer better use interface in terms of graphics. Some of these embedded GPUs also support OpenCL which allows the use of computation capacity of embedded GPUs for general purpose computing. Within this OpenCL support, challenges of image processing in embedded systems become easier to handle. In this paper, we present a new OpenCL-based image processing library, named TRABZ-10, which is specifically designed to run on an embedded platform. Our results show that the functions of TRABZ-10 show 7X speedup on embedded platform over the functions of OpenCV on average.

关键词： GPGPU OpenCL Embedded Systems Image Processing parallel computing

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