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7th international conference on Application of Information and Communication technologies (AICT)

作者： Taghiyev, Niyameddin Akcay, M. Anadolu Univ Dept Comp Engn Eskisehir Turkey Dumlupinar Univ Dept Comp Engn Kutahya Turkey

ISBN: (纸本)9781467364195

It has become increasingly common to see that supercomputing applications harness the massive parallelism of graphics cards to speed up computations. In this study, an analysis concerning to the time necessity for four different implementations of parallel matrix multiplication is presented. the execution time of parallel matrix multiplications in Compute Unified Device Architecture (CUDA) can be increased to about 10 times than Matlab implementation, 100 times than Java thread, 300 times than C++ by using duo core Central Processing Unit (CPU) and 600 times than C++ by using single core CPU respectively by our method, as compared with using the fastest tools of GPU-only case or CPU-only case. the goal of this study is to show how to offload parallel computations to the graphics card, when it is necessary, and to give some idea of how to think about code running in the massively parallel environment.

关键词： Matrix Multiplication parallel computing CUDA MPI thread C plus Java Matlab GPU and CPU computing

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Optimization Model for Collaborative Overhaul Workshop Scheduling Problem of Multiple EMUs 23

Optimization Model for Collaborative Overhaul Workshop Sched...

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23rd IEEE international conference on High Performance computing and Communications, 7th IEEE international conference on Data Science and Systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Zhang, Weijiao Wang, Zhongkai Jia, Zhikai Wang, Hui Institute of Computing Technologies China Academy of Railway Sciences Beijing China

ISBN: (纸本)9781665494571

China's high-speed railway construction is making remarkable achievements. the increasing EMUs are approaching the overhaul cycle, which has brought great pressure to the existing 7 overhaul bases. With the increasing expansion of high-speed rail network, it is of significance to reasonably arrange the maintenance plan of EMU overhaul base under the joint scheduling mode between multiple EMUs. Aiming at improving the maintenance throughput and the utilization rate of key equipment, the current overhaul bases are adopting the parallel maintenance mode of multiple EMUs. To optimize the repair process of multiple parallel mode, this paper constructed an optimization model with the goal of minimizing the invalid maintenance fragment time of key equipment, under the dual constraints of the BOM of EMU parts to be repaired and the topology of maintenance process. In view of the nonlinearity of the model, the topology diagram of cooperative advanced repair of multiple EMUs was constructed, and then the max-min ant colony algorithm was designed to optimize the model, so as to obtain the optimal solution of the model. the model and algorithms were validated by an actual problem of the overhaul (Level 3) process of multiple EMUs. © 2021 IEEE.

关键词： Job shop scheduling Smart cities Bills of materials Organizations Maintenance engineering Inspection throughput

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Iteration and parallel Computation on Computational Fluid Dynamics 7

Iteration and Parallel Computation on Computational Fluid Dy...

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7th international conference Intelligent Computation Technology Automation (ICICTA)

作者： Huang Xin-cheng Xiao Ai-ling Tarim Univ Coll Mech & Elect Engn Alar 843300 Peoples R China

ISBN: (纸本)9781479966363

With the rapid development and popularization of CFD technology, requirements on data amount and computing speed have also increased a lot. the computing ability of single CPU is unable to meet the requirement. therefore, iteration and parallel computation are the most important methods for CFD problems with large grid scales. this paper introduces the most popular iteration methods, classical iteration methods and their parallel computation strategies. On the basis of it, the parallel computing simulation environment is also constructed. It comprehensively applies symmetric multi-processing and distributed technologies and Windows XP 64 bit system. Research on CFD has focus on the parallel computation, which can meet the practical demand for computer capacity and computing time.

关键词： Computation Fluid Dynamics Classical Iteration parallel Computation

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Specification-based synthesis of tailor-made Grid service wrappers for scientific legacy codes 06

Specification-based synthesis of tailor-made Grid service wr...

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7th IEEE/ACM international conference on Grid computing

作者： Hofer, Juergen Fahringer, thomas Univ Innsbruck Distributed & Parallel Syst Grp Tech Str 21A A-6020 Innsbruck Austria

ISBN: (纸本)9781424403431

the long lifecycles of many scientific applications tend to surpass multiple generations of Grid technologies opening an increasing gap developers need to bridge. Automatic adaptation and migration of software to newer environments remains therefore as interesting research question. Most existing state-of-the-art solutions are Grid middleware services that execute programs based on provided descriptions forcing clients to use a generic and non-problem-centric interface. this short paper outlines the Otho Toolkit for synthesis of Grid application wrapper services based on specifications of scientific legacy programs. the generated output are service source codes that are either automatically built and packaged into a ready-to-deploy services or taken by developers for manual refinement. the services are customised and tailor-made for a specific application, service hosting environment and computational infrastructure. To increase their benefit they can be enhanced with supplemental functionality such as security credential management or filestaging. We applied the Otho Toolkit recursively to itself to synthesise a sophisticated Factory service that creates application-specific Grid services on-demand.

关键词： Application software Bridges Middleware Mesh generation Packaging Security Production facilities Service oriented architecture Web services Runtime

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A parallel genetic algorithm for floorplan area optimization

A parallel genetic algorithm for floorplan area optimization

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7th international conference on Intelligent Systems Design and applications (ISDA 2007)

作者： Tang, Maolin Lau, Raymond Y. K. Queensland Univ Technol 2 George St Brisbane Qld 4001 Australia City Univ Hong Kong Kowloon Peoples R China

ISBN: (纸本)9780769529769

Floorplanning is an important problem in Very Large-Scale Integrated-circuit (VLSI) design automation as it determines the performance, size, yield and reliability of VLSI chips. From the computational point of view, floorplan area minimization is an NP-hard problem. this paper presents a parallel genetic algorithm (GA) for floorplan area optimization. the parallel GA is based an island model with an asynchronous migration mechanism, and is implemented using Web services and multithreading technologies. the parallel GA is compared with a sequential GA that the parallel GA is based on. Experimental results show that the parallel GA can produce better results than the sequential GA when they use the same amount of computing resources. In addition, since the number of islands and migration interval are two important parameters that directly affect the performance of island-based parallel GAs, the impact of the two parameters on the performance of the parallel GA are empirically studied in this paper

关键词： Computational complexity

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On the Development of a Latvian-Russian parallel Corpus 7

On the Development of a Latvian-Russian Parallel Corpus

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7th international conference on Human Language technologies - the Baltic Perspective (Baltic HLT)

作者： Perkova, Natalia Sitchinava, Dmitri Stockholm Univ Stockholm Sweden Russian Acad Sci Vinogradov Russian Language Inst Moscow 117901 Russia

ISBN: (纸本)9781614997016;9781614997009

this paper presents the current status of the Latvian-Russian parallel corpus, which is an ongoing project within the Russian National Corpus. It discusses the existing parallel corpora including Latvian texts, availability of sources and the main principles and tools of alignment and morphological annotation, as well as further plans for developing the corpus.

关键词： Corpus linguistics parallel corpus Latvian Russian

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JOIN: the implementation of a Java-based massively parallel grid

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FUTURE GENERATION COMPUTER SYSTEMS-thE international JOURNAL OF ESCIENCE 2005年第5期21卷 791-810页

作者： Yero, EJH Lucchese, FD Sambatti, FS von Zuben, M Henriques, MAA State Univ Campinas Sch Elect & Comp Engn Sao Paulo Brazil Western Parana State Univ Cascavel Brazil

this paper presents JOIN, a Java-based software platform to construct massively parallel grids capable of executing large parallel applications. the system is designed to be scalable by allowing computers in the grid to be separated in independent sets (called groups) which are managed independently and collaborate using a logical interconnection topology. JoiN provides advanced fault tolerance capabilities that allow it to withstand failures both in computers executing parallel tasks and in computers managing the groups. the parallel applications executing in the system are formally specified using a rigorously defined application model. JoiN uses a dynamic, flexible scheduling algorithm that adapts to changes in resource availability and replicates parallel tasks for fault tolerance. the platform provides an authentication/access control mechanism based on roles which is embedded in the inner parts of the system. the software architecture is based on the concept of services, which are independent pieces of software that can be combined in several ways, providing the flexibility needed to adapt to particular environments. JoiN has been successfully used to implement and execute several parallel applications, such as DNA sequencing, Monte Carlo simulations and a version of the Traveling Salesman Problem. (c) 2005 Published by Elsevier B.V.

关键词： grids parallel computing Internet computing

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A Hybrid Distributed Collaborative Filtering Recommender Engine Using Apache Spark 7

A Hybrid Distributed Collaborative Filtering Recommender Eng...

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7th international conference on Ambient Systems, Networks and technologies (ANT) / 6th international conference on Sustainable Energy Information Technology (SEIT)

作者： Panigrahi, Sasmita Lenka, Rakesh Ku. Stitipragyan, Ananya IIIT Bhubaneswar Bhubaneswar 751003 Odisha India

In the big data world, recommendation system is becoming growingly popular. In this work Apache Spark is used to demonstrate an efficient parallel implementation of a new hybrid algorithm for User Oriented Collaborative Filtering method. Dimensionality reduction techniques like Alternating Least Square and Clustering techniques like K-Means are used in order to overcome the limitations of Collaborative Filtering such as data Sparsity and Scalability. We also tried to alleviate the cold start problem of Collaborative Filtering by correlating the users to products through features (tags). (C) 2016 the Authors. Published by Elsevier B.V.

关键词： Big Data Spark Machine learning parallel computing Recommendation Engine Collaborative Filtering Hive Hadoop

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Map Reduce Programming Model for parallel K-Mediod Algorithm on Hadoop Cluster 7

Map Reduce Programming Model for Parallel K-Mediod Algorithm...

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7th international conference on Communication Systems and Network technologies (CSNT)

作者： Srivastava, Devesh Kumar Yadav, Ravinder Agrwal, Gaurav Manipal Univ Jaipur SCIT IEEE ACM Jaipur Rajasthan India Manipal Univ SCIT Jaipur Rajasthan India

ISBN: (纸本)9781538618608

this paper presents result analysis of K-Mediod algorithm, implemented on Hadoop Cluster by using Map-Reduce concept. Map-Reduce are programming models which authorize the managing of huge datasets in parallel, on a large number of devices. It is especially well suited to constant or moderate changing set of data since the implementation point of a position is usually high. MapReduce is supposed to be framework of "big data". the MapReduce model authorizes for systematic and instant organizing of large scale data with a cluster of evaluate nodes. One of the primary affect in Hadoop is how to minimize the completion length (i.e., make span) of a set of MapReduce duty. For various applications like word count, grep, terasort and parallel K-Mediod Clustering Algorithm, it has been observed that as the number of node increases, execution time decreases. In this paper we verified Map Reduce applications and found as the amount of nodes increases the completion time decreases.

关键词： Hadoop Mapreduce K-mediod

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A Simple parallel Convex Hulls Algorithm for Sorted Points and the Performance Evaluation on the Multicore Processors

A Simple Parallel Convex Hulls Algorithm for Sorted Points a...

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10th international conference on parallel and Distributed computing, applications and technologies

作者： Nakagawa, Masaya Man, Duhu Ito, Yasuaki Nakano, Koji Hiroshima Univ Dept Informat Engn Higashihiroshima 724 Japan

ISBN: (纸本)9781424452910

Finding a vast array of applications, the problem of computing the convex hull of a set of sorted points in the plane is one of the fundamental tasks in pattern recognition, morphology and image processing. the main contribution of this paper is to show a simple parallel algorithm for computing the convex hull of a set of n sorted points in the plane and evaluate the performance on the dual quad-core processors. the experimental results show that, our implementation achieves a speed-up factor of approximately 7 using 8 processors. Since the speed-up factor of more than 8 is not possible, our parallel implementation for computing the convex hull is close to optimal. Also, for 2 or 4 processors, we achieved a super linear speed up.

关键词： parallel algorithm Convex hull Multicore processor

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