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检索条件"任意字段=International Conference on Parallel and Distributed Processing Techniques and Applications"

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parallel and distributed Computing, applications and Technologies, PDCAT Proceedings

Parallel and Distributed Computing, Applications and Technol...

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14th international conference on parallel and distributed Computing, applications and Technologies, PDCAT 2013

ISBN: (纸本)9781479924189

The proceedings contain 56 papers. The topics discussed include: nested atomic sections with thread escape: an operational semantics;RDF data query and management method based on HBase and structure index in railway sensor application;SimpleLock: fast and accurate hybrid data race detector;improving blocking operation support in Intel TBB;implementation of a cloud IaaS with dynamic resource allocation method using OpenStack;automatic knowledge extraction supported by semantic enrichment in medical records;study on quantum parallel processing by adiabatic quantum computation in Simon problem;CADM: a centralized administration and dynamic monitoring framework for network intrusion detection based on virtualization;cHPP controller: a high performance hyper-node hardware accelerator;an ad-hoc method with genetic algorithm for printed circuit board assembly optimization on the sequential pick-and-place machine;and HRUL: a hardware assisted recorder for user-level application.

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High-productivity Framework on GPU-rich Supercomputers for Operational Weather Prediction Code ASUCA 14

High-productivity Framework on GPU-rich Supercomputers for O...

引用

international conference on High Performance Computing, Networking, Storage and Analysis

作者： Shimokawabe, Takashi Aoki, Takayuki Onodera, Naoyuki Tokyo Inst Technol Meguro Ku 2-12-1 Ookayama Tokyo Japan

ISBN: (纸本)9781479955008

The weather prediction code demands large computational performance to achieve fast and high-resolution simulations. Skillful programming techniques are required for obtaining good parallel efficiency on GPU supercomputers. Our framework-based weather prediction code ASUCA has achieved good scalability with hiding complicated implementation and optimizations required for distributed GPUs, contributing to increasing the maintainability;ASUCA is a next-generation highresolution meso-scale atmospheric model being developed by the Japan Meteorological Agency. Our framework automatically translates user-written stencil functions that update grid points and generates both GPU and CPU codes. User-written codes are parallelized by MPI with intra-node GPU peer-to-peer direct access. These codes can easily utilize optimizations such as overlapping technique to hide communication overhead by computation. Our simulations on the GPU-rich supercomputer TSUBAME 2.5 at the Tokyo Institute of Technology have demonstrated good strong and weak scalability achieving 209.6 TFlops in single precision for our largest model using 4,108 NVIDIA K20X GPUs.

关键词： application program interfaces geophysics computing graphics processing units mainframes message passing parallel machines peer-to-peer computing CPU codes GPU codes GPU-rich supercomputer TSUBAME 2.5 Japan Meteorological Agency MPI NVIDIA K20X GPU Tokyo Institute of Technology high-productivity framework intranode GPU peer-to-peer direct access next-generation high resolution meso-scale atmospheric model operational weather prediction code ASUCA parallel efficiency skillful programming techniques user-written codes Atmospheric modeling Computational modeling Graphics processing units Mathematical model Numerical models Programming Weather forecasting message passing weather forecasting Graphics processing Unit Atmospheric models Mainframes Application programming interfaces geophysics computing Peer to peer computing mannose phosphate isomerase remote procedure calls parallel machines Computational modeling numerical models supercomputer Programming

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distributed graph summarization 14

Distributed graph summarization

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23rd ACM international conference on Information and Knowledge Management, CIKM 2014

作者： Liu, Xingjie Tian, Yuanyuan He, Qi Lee, Wang-Chien McPherson, John Square Inc. United States IBM Almaden Research Center United States LinkedIn Inc. United States Pennsylvania State University United States

ISBN: (纸本)9781450325981

Graph has been a ubiquitous and essential data representation to model real world objects and their relationships. Today, large amounts of graph data have been generated by various applications. Graph summarization techniques are crucial in uncovering useful insights about the patterns hidden in the underlying data. However, all existing works in graph summarization are single-process solutions, and as a result cannot scale to large graphs. In this paper, we introduce three distributed graph summarization algorithms to address this problem. Experimental results show that the proposed algorithms can produce good quality summaries and scale well with increasing data sizes. To the best of our knowledge, this is the first work to study distributed graph summarization methods. Copyright 2014 ACM.

关键词： graph summary distributed data processing graph processing

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RECEP: Selection-based reuse for distributed complex event processing 14

RECEP: Selection-based reuse for distributed complex event p...

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8th ACM international conference on distributed Event-Based Systems, DEBS 2014

作者： Ottenwälder, Beate Koldehofe, Boris Rothermel, Kurt Hong, Kirak Ramachandran, Umakishore Institute of Parallel and Distributed Systems University of Stuttgart Stuttgart Germany College of Computing Georgia Institute of Technology Atlanta GA United States

ISBN: (纸本)9781450327374

An appealing use case of complex event processing (CEP) systems is for mobile users to react in real-time to events in their environment, e.g., to the occurrence of a dangerous situation such as an accident. Maintaining mobile CEP systems is highly resource intensive since in many cases events need to be detected in a consumer-centric manner to ensure low latency event detection and high quality of results. In this paper we propose the RECEP system to increase the scalability of mobile CEP systems. In the presence of mobile users with partially overlapping interest, the RECEP system offers methods to efficiently reuse computations and this way reduces the resource requirements of mobile CEP. Since reuse of computations happens with respect to well defined quality metrics, RECEP can be easily tailored to specific mobile applications and maximize the resource savings for their desired quality in terms of precision and recall of the processed events from the user's environment. © 2014 ACM.

关键词： Real time systems

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Stream oriented modular architecture with polymorphic processing engines 26

Stream oriented modular architecture with polymorphic proces...

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26th IEEE international Symposium on Computer Architecture and High Performance Computing Workshops, SBAC-PADW 2014

作者： Gorobets, Andriy Pratas, Frederico Roma, Nuno Tomís, Pedro INESC-ID IST Universidade de Lisboa Portugal

ISBN: (纸本)9781479970148

Stream computing has shown to be an effective technique to decouple communication from computation in many application domains. It provides an efficient mitigation of bandwidth restrictions, by reducing the amount of memory accesses and by maximizing the available computational resources, potentiating the parallel processing using multiple execution engines. However, it frequently implies significant development costs, since efficient stream-based architectures are usually attained through application-specific full-custom processors, often tightened to the application at hand. To circumvent this limitation, a modular stream computing architecture aiming generic and high performance applications is presented. The proposed architecture, designed for reconfigurable hardware, is composed of modular processing engines that can be customized by the end-user in many ways, such as in terms of their number, type and precision of the functional units. Furthermore, these processing engines are designed as programmable cores, allowing the execution of a wide set of applications using the same configuration. From the conducted evaluation by using a series of benchmark case studies, it was observed that the proposed architecture achieves competitive results when compared with alternative solutions. © 2014 IEEE.

关键词： Engines

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Reliability based routing strategy for performance Optimization in distributed Mobile Computing through clustering 3

Reliability based routing strategy for performance Optimizat...

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international conference parallel distributed Grid Computing

作者： Khan, Faizul Navi Govil, Kapil Agarwal, Alok Teerthanker Mahaveer Univ Moradabad UP India JP Inst Engn & Tech Meerut Uttar Pradesh India

ISBN: (纸本)9781479976836

Technology enhancement makes the computing available everywhere and provides access to widely distributed resources which is known as Mobile Computing. Mobile computing enables innovative applications through the sharing of computing resources among mobile devices such as notebook, smart phones and Personal Digital Assistant (PDAs) without any pre-existing infrastructure. Mobile computing includes a number of technologies and devices. The state of the user, static or mobile, does not affect the information management capability of the mobile platform. A user can continue to access and perform data manipulation during the state of mobility by using mobile computing devices. Delivering data packets between pair of processors is a primary responsibility of any mobile computing network This activity is performed using a routing strategy Maximize reliability of the data packets always a major concern while transmitting the data from one point to another point. In mobile computing it is the process of determining the data path through the network that data packets will move from the one computing device to another computing device. Routing strategy for data transmission is an important factor for achieving high degree of reliability. Multiple data packets are move within a network from source to destination in order to execute on available processing units with the objective of getting maximum reliability of data packets. This research paper present a routing strategy to achieve maximum data packets transmission reliability in mobile computing network during the data transmission.

关键词： Data transmission Mobile computing performance Routing Reliability

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parallel k-way partitioning approach for large graphs

Parallel k-way partitioning approach for large graphs

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2014 international conference on Frontiers of Advanced Materials and Engineering Technology, FAMET 2014

作者： Xu, Jin Zhong, Yu Peng, Bo China Coal Technology Engineering Group Chongqing Research Institute China

ISBN: (纸本)9783038350774

With the emergence of large social networks, such as Facebook and Twitter, graphs with millions to billions vertices are common. Instead of processing the network within a single machine, all the applications related are intended to be done in a distributed way using a cluster of commodity machines. In this paper, we study the parallel graph partitioning problem, which is the fundamental operation for large graphs. With the help of Hadoop/MapReduce, we propose a parallel k-way partitioning approach. Unlike the previous ones, which require enough memory to keep the whole graph data within, our novel approach breaks such limitations. Also, due to the distributed nature, it is easy to integrate our partitioning approach into existed parallel platforms. We conduct extensive experiments on real graphs and synthetic graphs. All the experimental results prove the effectiveness and efficiency of our approach. © (2014) Trans Tech Publications, Switzerland.

关键词： MapReduce

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distributed Vertex-Cut Partitioning

Distributed Vertex-Cut Partitioning

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14th IFIP WG 6.1 international conference on distributed applications and Interoperable Systems (DAIS)

作者： Rahimian, Fatemeh Payberah, Amir H. Girdzijauskas, Sarunas Haridi, Seif Swedish Inst Comp Sci Stockholm Sweden Royal Inst Technol KTH Stockholm Sweden

ISBN: (纸本)9783662433522;9783662433515

Graph processing has become an integral part of big data analytics. With the ever increasing size of the graphs, one needs to partition them into smaller clusters, which can be managed and processed more easily on multiple machines in a distributed fashion. While there exist numerous solutions for edge-cut partitioning of graphs, very little effort has been made for vertex-cut partitioning. This is in spite of the fact that vertex-cuts are proved significantly more effective than edge-cuts for processing most real world graphs. In this paper we present JA-BEJA- VC, a parallel and distributed algorithm for vertex-cut partitioning of large graphs. In a nutshell, JA-BE-JA-VC is a local search algorithm that iteratively improves upon an initial random assignment of edges to partitions. We propose several heuristics for this optimization and study their impact on the final partitioning. Moreover, we employ simulated annealing technique to escape local optima. We evaluate our solution on various graphs and with variety of settings, and compare it against two state-of-the-art solutions. We show that JA-BE-JA-VC outperforms the existing solutions in that it not only creates partitions of any requested size, but also requires a vertex-cut that is better than its counterparts and more than 70% better than random partitioning.

关键词： Big data

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Hierarchical parallelization and Runtime Scheduling for Pregel-like Graph processing Systems 6

Hierarchical Parallelization and Runtime Scheduling for Preg...

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6th IEEE international conference on Cloud Computing Technology and Science (CloudCom)

作者： Li, Zengxiang Duan, Rubing Wang, Long Lu, Sifei Qin, Zheng Goh, Rick Siow Mong ASTAR Inst High Performance Comp Singapore Singapore

ISBN: (纸本)9781479940936

Graph processing has become popular for various big data analytic applications. Google's Pregel framework enables vertex-centric graph processing in distributed environment based on Bulk Synchronous parallel (BSP) model. However, the BSP model is inefficient for many complex graph algorithms requiring graph traversals, as only a small number of vertices really update states in each superstep. In this paper, we propose an hierarchical parallelization mechanism, taking the advantages of both synchronous (warp-level) and asynchronous (task-level) parallelization approaches. In addition, a runtime task scheduling mechanism is proposed, relying on real-time monitoring or prediction of resource utilization. Experiments have verified that the hierarchical parallelization mechanism can expose greater parallelism, and thus, increase resource utilization significantly. Moreover, the runtime scheduling mechanism can avoid aggressive resource competition, and thus, further enhance the performance of the parallelized graph processing.

关键词： Graph processing Pregel parallelization Scheduling Resource utilization Betweenness Centrality

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FooPar: A Functional Object Oriented parallel Framework in Scala 1

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10th international conference on parallel processing and Applied Mathematics (PPAM)

作者： Hargreaves, Felix Palludan Merkle, Daniel Univ Southern Denmark Dept Math & Comp Sci Odense Denmark

ISBN: (数字)9783642551956

ISBN: (纸本)9783642551956

We present FooPar, an extension for highly efficient parallel Computing in the multi-paradigm programming language Scala. Scala offers concise and clean syntax and integrates functional programming features. Our framework FooPar combines these features with parallel computing techniques. FooPar is designed to be modular and supports easy access to different communication backends for distributed memory architectures as well as high performance math libraries. In this article we use it to parallelize matrix-matrix multiplication and show its scalability by a isoefficiency analysis. In addition, results based on a empirical analysis on two supercomputers are given. We achieve close-to-optimal performance wrt. theoretical peak performance. Based on this result we conclude that FooPar allows programmers to fully access Scalas design features without suffering from performance drops when compared to implementations purely based on C and MPI.

关键词： Functional programming Isoefficiency Matrix multiplication

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