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proceedings - ieee 28th International parallel and distributed processing symposium, IPDPS 2014

Proceedings - IEEE 28th International Parallel and Distribut...

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28th ieee International parallel and distributed processing symposium, IPDPS 2014

ISBN: (纸本)9780769552071

The proceedings contain 114 papers. The topics discussed include: cost-optimal execution of Boolean query trees with shared streams;exploiting geometric partitioning in task mapping for parallel computers;communication-efficient distributed variance monitoring and outlier detection for multivariate time series;pythia: faster big data in motion through predictive software-defined network optimization at runtime;power and performance characterization and modeling of GPU-accelerated systems;scibox: online sharing of scientific data via the cloud;active measurement of the impact of network switch utilization on application performance;multi-resource real-time reader/writer locks for multiprocessors;remote invalidation: optimizing the critical path of memory transactions;and revisiting asynchronous linear solvers: provable convergence rate through randomization.

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proceedings - 2014 ieee International symposium on parallel and distributed processing with Applications, ISPA 2014

Proceedings - 2014 IEEE International Symposium on Parallel ...

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12th ieee International symposium on parallel and distributed processing with Applications, ISPA 2014

ISBN: (纸本)9781479942930

The proceedings contain 33 papers. The topics discussed include: analyzing the energy efficiency of the memory subsystem in multicore processors;a proactive customer-aware resource allocation approach for data centers;parallel subgraph counting for multicore architectures;petapar: a scalable petascale framework for meshfree/particle simulation;a high performance compression method for climate data;a utility-maximizing tasks assignment method for rendering cluster system;efficient routing algorithms combining history and social predictors in mobile social networks;a high-throughput and low-latency parallelization of window-based stream joins on multicores;OpenCL application auto-tuning and run-time resource management for multi-core platforms;FPGA-based design using the FASTER toolchain: the case of STM spear development board;and EURETILE design flow: dynamic and fault tolerant mapping of multiple applications onto many-tile systems.

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distributed Cloud Storage and parallel Topology processing of Power Network 3

Distributed Cloud Storage and Parallel Topology Processing o...

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3rd International Conference on Trustworthy Systems and their Applications (TSA)

作者： Lv, Xianlong Cheng, Xingong Lv, YongXi Univ Jinan Sch Elect Engn Jinan Peoples R China LingCheng Dist Dezhou City Power Supply Co Dezhou Peoples R China

ISBN: (纸本)9781509035397

With the rapid development of information communication, computer and control technology, the smart grid has become a direction and trend of the development of electric power industry. The ultimate goal of smart grid is to build a panoramic real-time system which covers the whole production process of power system. However, it is difficult to meet the demand of the power system dispatching department to store and process large scale data in the current power system. In view of the above reasons, this paper develops the Mysql-CIM model, realizes the distributed cloud storage of power network data, and develops the application of the parallel topology processing of power network. Verified by the case, this paper develops the model Mysql-CIM fully meet requirements of the smart grid of system reliability, availability, high throughput;In this paper, the development of the power network based on CIM parallel topological processing is applied to realize the fast network topology processing and topology island formation, its running time scale increased to milliseconds, greatly improving the work efficiency of the system.

关键词： Mysql CIM Hadoop Spark Object Relational Mapping (ORM)

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proceedings - International symposium on parallel Architectures, Algorithms and Programming, PAAP

Proceedings - International Symposium on Parallel Architectu...

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7th International symposium on parallel Architectures, Algorithms, and Programming, PAAP 2015

ISBN: (纸本)9781467391177

The proceedings contain 40 papers. The topics discussed include: efficient heuristic for placing monitors on flow networks;efficient implementation of genetic algorithms on GP-GPU with scheduled persistent CUDA threads;exploiting pure superword level parallelism for array indirections;modeling binary oriented software buffer overflow vulnerability in process algebra;OpenISMA: an approach of achieving a scalable OpenFlow network by identifiers separating and mapping;an efficient tolerant-anisotropic localization for large-scale wireless sensor network;distributed processing of approximate range queries in wireless sensor networks;vector localization algorithm based on signal strength in wireless sensor network;and parallel and improvement of pre-computation technique for approximation shortest distance query.

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Resource-Centered distributed processing of Large Histopathology Images 19

Resource-Centered Distributed Processing of Large Histopatho...

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19th ieee International Conference on Computational Science and Engineering, 14th ieee International Conference on Embedded and Ubiquitous Computing and 15th International symposium on distributed Computing and Applications to Business, Engineering and Science, CSE-EUC-DCABES 2016

作者： Salas, Daniel Gustedt, Jens Racoceanu, Daniel Perseil, Isabelle Inserm CISI Paris France INRIA Nancy - Grand Est France ICube - CNRS Université de Strasbourg France Université Pierre et Marie Curie Paris France

ISBN: (纸本)9781509035939

Automatic cell nuclei detection is a real challenge in medical imagery. The Marked Point Process (MPP) is one of the most promising scalable and paralellizable method. To handle large histopathology images, the algorithm has to be distributed. A new parallelization paradigm called Ordered Read-Write Locks (ORWL) is presented as a possible solution for solving some of the unwanted side effects of the distribution, namely an imprecision of the results on the internal boundaries of partitioned images. This solution extends a parallel version of MPP that has reached good speedups on GPU cards, but was not scaling to complete images as they appear in practical data. © 2016 ieee.

关键词： Graphics processing units Convergence distributed computing Breast cancer System recovery Conferences

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An accurate FDD-based approach for discovering distributed firewalls misconfigurations 15

An accurate FDD-based approach for discovering distributed f...

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Joint 15th ieee International Conference on Trust, Security and Privacy in Computing and Communications, 10th ieee International Conference on Big Data Science and Engineering and 14th ieee International symposium on parallel and distributed processing with Applications, ieee TrustCom/BigDataSE/ISPA 2016

作者： Saâdaoui, Amina Souayeh, Nihel Ben Youssef Ben Bouhoula, Adel University of Carthage Tunisia

ISBN: (纸本)9781509032051

Problems arising from firewalls are common, cost time and money and have dramatic consequences for the operations of networks, especially in multi-firewall enterprise network. In fact, any misconfiguration that can arise between rules creates ambiguity in classification and filtering of the traffic. The discovery and removal of these misconfigurations is a serious and complex problem to solve. Several solutions have been proposed, though these methods are useful for discovering anomalies, most of them identify each overlap between two rules with different actions as a configuration error while, in some cases, network administrator add, intentionally, overlapping rules. Also, in a distributed environment, they deal only with pair-wise filtering rules in a simple firewall and they consider relations between only two firewalls even if a network path could contain more than two firewalls and anomaly could happen between different rules from different firewalls. In this paper, we present (1) a new classification of anomalies in multi-firewall environment bringing out real configurations errors, (2) we use a data structure (FDD) to represent relations between different rules in different firewalls in the network, (3) a new approach to rule-set optimization and clean-up by removing superfluous rules from a simple firewall and firewalls in a distributed environment and (4) formal specification and validation of proposed techniques, we also proved its correctness and completeness and demonstrated its scalability and applicability. © 2016 ieee.

关键词： Computer system firewalls

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Two parallel Implementations of Ehrlich-Aberth Algorithm for Root-Finding of Polynomials on Multiple GPUs with OpenMP and MPI 19

Two Parallel Implementations of Ehrlich-Aberth Algorithm for...

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作者： Ghidouche, Kahina Sider, Abderrahmane Khodja, Lilia Ziane Couturier, Raphaël Laboratoire LIMED Faculté des Sciences Exactes Université de Bejaia 06000 Algeria University Bourgogne Franche-Comte France

ISBN: (纸本)9781509035939

Finding the roots of polynomials is a very important part of solving real-life problems but the higher the degree of the polynomials is, the less easy it becomes. In this paper, we present two different parallel algorithms of the Ehrlich-Aberth method to find roots of sparse and fully defined polynomials of high degrees. Both algorithms are based on CUDA technology to be implemented on multi-GPU computing platforms but each use different parallel paradigms: OpenMP or MPI. The experiments show a quasi-linear speedup by using up-to 4 GPU devices compared to 1 GPU to find the roots of polynomials of degree up-to 1.4 million. Moreover, other experiments show it is possible to find the roots of polynomials of degree up-to 5 million. © 2016 ieee.

关键词： Graphics processing unit

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Dynamic Reconfiguration of Data parallel Programs 28

Dynamic Reconfiguration of Data Parallel Programs

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28th ieee International symposium on Computer Architecture and High Performance Computing (SBAC-PAD)

作者： Dias, Vinicius Meira, Wagner, Jr. Guedes, Dorgival Univ Fed Minas Gerais Dept Comp Sci Belo Horizonte MG Brazil

ISBN: (纸本)9781509061082

Given the large amount of data from different sources that have become available to researchers in multiple fields, Data Science has emerged as a new paradigm for exploring and getting value from that data. In that context, new parallel processing environments with abstract programming interfaces, like Spark, were proposed to try to simplify the development of distributed programs. Although such solutions have become widely used, achieving the best performance with them is still not always straight-forward, despite the multiple run-time strategies they use. In this work we analyze some of the causes of performance degradation in such systems and, based on that analysis, we propose a tool to improve performance by dynamically adjusting data partitioning and parallelism degree in recurrent applications based on previous executions. Our results applying that methodology show consistent reductions in execution time for the applications considered, with gains of up to 50%.

关键词： Adaptive execution data parallel framework performance spark

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Joint selection of providers and the new comer for optimal repair in distributed storage network with network coding 15

Joint selection of providers and the new comer for optimal r...

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作者： Jia, Chengjin Wang, Jin Zhu, Yanqin Wen, Zhengqing Jia, Juncheng Department of Computer Science and Technology Soochow University China Collobrative Innovation Center of Novel Software Technology and Industrialization China

ISBN: (纸本)9781509032051

In distributed storage networks (DSN), server failures occur frequently. Although network coding can provide high reliability of storage in DSN, to maintain reliability, a new server, named the new comer, should be firstly implemented to replace the failed server. Then, new comer should download enough data from multiple storage servers, called provider selected from surviving servers to regenerate the lost data. Therefore, the providers, new comer and data routing have a great impact on regeneration time during repair process. In this paper, we jointly consider the providers and new comer selection (JPNS) problem with two objectives of minimizing regeneration time and minimizing transmission cost under the minimum regeneration time guarantee. Specifically, for the first objective, we firstly model the JPNS problem as a mathematical programming and formulate it as an integer linear programming (ILP). We also propose a Heuristic Providers and New Comer Selection (HPNS) algorithm. For the second objective, based on the providers and a new comer selected by the HPNS algorithm, we give a linear programming (LP) to optimally obtain the routing paths and flows from these providers to the new comer with minimum transmission cost. Finally, we conduct extensive simulation experiments and the results show the effectiveness of the proposed algorithms. © 2016 ieee.

关键词： Network coding

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One-Sided Interface for Matrix Operations using MPI-3 RMA: A Case Study with Elemental 45

One-Sided Interface for Matrix Operations using MPI-3 RMA: A...

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45th International Conference on parallel processing (ICPP)

作者： Ghosh, Sayan Hammond, Jeff R. Pena, Antonio J. Balaji, Pavan Gebremedhin, Assefaw H. Chapman, Barbara Washington State Univ Sch Elect Engn & Comp Sci Pullman WA 99164 USA Intel Corp Parallel Comp Lab Portland OR USA Barcelona Supercomp Ctr Barcelona Spain Argonne Natl Lab Math & Comp Sci Div Lemont IL USA SUNY Stony Brook Inst Adv Computat Sci Stony Brook NY 11794 USA

ISBN: (纸本)9781509028238

A one-sided programming model separates communication from synchronization, and is the driving principle behind partitioned global address space (PGAS) libraries such as Global Arrays (GA) and SHMEM. PGAS models expose a rich set of functionality that a developer needs in order to implement mathematical algorithms that require frequent multidimensional array accesses. However, use of existing PGAS libraries in application codes often requires significant development effort in order to fully exploit these programming models. On the other hand, a vast majority of scientific codes use MPI either directly or indirectly via third-party scientific computation libraries, and need features to support application-specific communication requirements (e.g., asynchronous update of distributed sparse matrices, commonly arising in machine learning workloads). For such codes it is often impractical to completely shift programming models in favor of special one-sided communication middleware. Instead, an elegant and productive solution is to exploit the one-sided functionality already offered by MPI-3 RMA (Remote Memory Access). We designed a general one-sided interface using the MPI-3 passive RMA model for remote matrix operations in the linear algebra library Elemental;we call the interface we designed RMAInterface. Elemental is an open source library for distributed-memory dense and sparse linear algebra and optimization. We employ RMAInterface to construct a Global Arrays-like API and demonstrate its performance scalability and competitivity with that of the existing GA (with ARMCI-MPI) for a quantum chemistry application.

关键词： distributed-memory linear algebra MPI-3 RMA one-sided communication Global Arrays PGAS

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