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检索条件"任意字段=Proceedings of the seventh workshop on Parallel and distributed simulation"

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Towards a fault-tolerant, scalable implementation of GENE 3rd

Towards a fault-tolerant, scalable implementation of GENE

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3rd International workshop on Computational Engineering, CE 2014

作者： Hinojosa, Alfredo Parra Kowitz, C. Heene, M. Pflüger, D. Bungartz, H.-J. Chair of Scientific Computing Technische Universität München München Germany Institute for Parallel and Distributed Systems University of Stuttgart Stuttgart Germany

ISBN: (纸本)9783319229966

We consider the HPC challenge of fault tolerance in the context of plasma physics simulations using the sparse grid combination technique. In the combination technique formalism, one breaks down a single, highly expensive simulation into many, considerably cheaper independent simulations that are propagated in time and then combined to approximate the results of the full solution. This introduces a new level of parallelism from which various fault tolerance approaches can be deduced. We investigate two such approaches, corresponding to two different simulation modes of the plasma physics code GENE: the simulation of a time-dependent, 5- dimensional PDE, and the computation of certain eigenvalues of the spectrum of a problem-specific linear operator. This paper has two main contributions to the field of fault tolerance with the combination technique. First, we show that the recently developed fault-tolerant combination technique performs well even for highly complex simulation codes, i.e., beyond the usual Poisson or advection problems;and second, we demonstrate a new way to use of the optimized combination technique (OptiCom) in the context of fault tolerance when dealing with eigenvalue computations. This work is a building block of the project EXAHD within the DFG’s Priority Programme "Software for Exascale Computing" (SPPEXA). © Springer International Publishing Switzerland 2015.

关键词： Fault tolerance

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Intelligent distributed Computing VI: proceedings of the 6th International Symposium on Intelligent distributed Computing - IDC 2012, Calabria, Italy, ... 2012

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2014年

作者： Giancarlo Fortino Costin Bădică Michele Malgeri Rainer Unland

ISBN: (纸本)9783642439346

This book represents the combined peer-reviewed proceedings of the Sixth International Symposium on Intelligent distributed Computing -- IDC~2012, of the International workshop on Agents for Cloud -- A4C~2012 and of the Fourth International workshop on Multi-Agent Systems Technology and Semantics -- MASTS~2012. All the events were held in Calabria, Italy during September 24-26, *** 37 contributions published in this book address many topics related to theory and applications of intelligent distributed computing and multi-agent systems, including: adaptive and autonomousdistributed systems, agent programming, ambient assistedliving systems, business process modeling and verification, cloudcomputing, coalition formation, decision support systems, distributed optimization and constraint satisfaction, gesture recognition, intelligent energy management in WSNs, intelligent logistics, machine learning, mobile agents, parallel and distributed computational intelligence, parallel evolutionary computing, trust metrics and security, scheduling in distributed heterogenous computing environments, semantic Web service composition, social simulation, and software agents for WSNs.

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CEUR workshop proceedings

CEUR Workshop Proceedings

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9th International Conference of Programming, UkrPROG 2014

The proceedings contain 18 papers. The topics discussed include: coordinated description of algorithms within the framework of algebraic vehicle;NP-hardness of collective pursuiting optimization problems;formalized designing and generation of parallel program for numerical weather forecasting task;block algorithm for householder transformations for hybrid architecture computers;regression testing: techniques and future research directions;static method of consistency and completeness checking in formal model of distributed software systems;a formal semantics of aggregate operations of multiset table algebra;and methods of simulation of behavior of agents in multi-agent system 'navigation'.

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Patch-based hybrid modelling of spatially distributed systems by using stochastic HYPE-ZebraNet as an example 12

Patch-based hybrid modelling of spatially distributed system...

引用

12th International workshop on Quantitative Aspects of Programming Languages and Systems, QAPL 2014

作者： Feng, Cheng Laboratory for Foundations of Computer Science University of Edinburg United Kingdom

Individual-based hybrid modelling of spatially distributed systems is usually expensive. Here, we consider a hybrid system in which mobile agents spread over the space and interact with each other when in close proximity. An individual-based model for this system needs to capture the spatial attributes of every agent and monitor the interaction between each pair of them. As a result, the cost of simulating this model grows exponentially as the number of agents increases. For this reason, a patch-based model with more abstraction but better scalability is advantageous. In a patch-based model, instead of representing each agent separately, we model the agents in a patch as an aggregation. This property significantly enhances the scalability of the model. In this paper, we convert an individual-based model for a spatially distributed network system for wild-life monitoring, ZebraNet, to a patch-based stochastic HYPE model with accurate performance evaluation. We show the ease and expressiveness of stochastic HYPE for patch-based modelling of hybrid systems. Moreover, a mean-field analytical model is proposed as the fluid flow approximation of the stochastic HYPE model, which can be used to investigate the average behaviour of the modelled system over an infinite number of simulation runs of the stochastic HYPE model. © 2014 Cheng Feng.

关键词： Hybrid systems

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distributed Adaptive Two-stage Kalman Filter for Target Tracking in the Presence of Unknown Dynamic Bias 33

Distributed Adaptive Two-stage Kalman Filter for Target Trac...

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第三十三届中国控制会议

作者： ZHANG Cui JIA Yingmin DU Junping ZHANG Jun The Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and TechnologyBeijing University of Posts and Telecommunications School of Electronic and Information Engineering Beihang University (BUAA)

ISBN: (纸本)9781479947249

This paper is concerned with the problem of tracking target with multiple sensors in the presence of unknown dynamic bias. A suboptimal adaptive two-stage Kalman filter(ATKF) is designed with two reduce-order filters to estimate the target state and the dynamic bias in parallel when the bias model information is incomplete. Moreover, a distributed adaptive two-stage Kalman filter(DATKF) is developed for multi-sensor system based on the ATKF. The effectiveness of the ATKF and the DATKF are illustrated by the Monte Carlo simulation results.

关键词： Dynamic Bias,Adaptive Two-stage Kalman Filter,distributed Fusion,Multi-sensor System

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Efficient pseudorecursive evaluation schemes for non-adaptive sparse grids 1

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2nd workshop on Sparse Grids and Applications, SGA 2012

作者： Buse, Gerrit Pflüger, Dirk Jacob, Riko TU München München Germany Institute for Parallel and Distributed Systems Universität Stuttgart Stuttgart Germany ETH Zurich Zurich Switzerland

ISBN: (数字)9783319045375

ISBN: (纸本)9783319045368

In this work we propose novel algorithms for storing and evaluating sparse grid functions, operating on regular (not spatially adaptive), yet potentially dimensionally adaptive grid types. Besides regular sparse grids our approach includes truncated grids, both with and without boundary grid points. Similar to the implicit data structures proposed in Feuersänger (Dünngitterverfahren für hochdimensionale elliptische partielle Differntialgleichungen. Diploma Thesis, Institut für Numerische simulation, Universität Bonn, 2005) and Murarasu et al. (proceedings of the 16th ACM Symposium on Principles and Practice of parallel Programming. Cambridge University Press, New York, 2011, pp. 25–34) we also define a bijective mapping from the multi-dimensional space of grid points to a contiguous index, such that the grid data can be stored in a simple array without overhead. Our approach is especially well-suited to exploit all levels of current commodity hardware, including cache-levels and vector extensions. Furthermore, this kind of data structure is extremely attractive for today’s real-time applications, as it gives direct access to the hierarchical structure of the grids, while outperforming other common sparse grid structures (hash maps, etc.) which do not match with modern compute platforms that well. For dimensionality d ≤10 we achieve good speedups on a 12 core Intel Westmere-EP NUMA platform compared to the results presented in Murarasu et al. (proceedings of the International Conference on Computational Science—ICCS 2012. Procedia Computer Science, 2012). As we show, this also holds for the results obtained on Nvidia Fermi GPUs, for which we observe speedups over our own CPU implementation of up to 4.5 when dealing with moderate dimensionality. In high-dimensional settings, in the order of tens to hundreds of dimensions, our sparse grid evaluation kernels on the CPU outperform any other known implementation. © Springer International Publishing Switzerland 2014.

关键词： parallel programming

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distributed adaptive two-stage Kalman filter for target tracking in the presence of unknown dynamic bias

Distributed adaptive two-stage Kalman filter for target trac...

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Chinese Control Conference (CCC)

作者： Cui Zhang Yingmin Jia Junping Du Jun Zhang The Seventh Research Division Beihang University (BUAA) Beijing P. R. China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications Beijing P. R. China School of Electronic and Information Engineering Beihang University (BUAA) Beijing P. R. China

This paper is concerned with the problem of tracking target with multiple sensors in the presence of unknown dynamic bias. A suboptimal adaptive two-stage Kalman filter (ATKF) is designed with two reduce-order filters to estimate the target state and the dynamic bias in parallel when the bias model information is incomplete. Moreover, a distributed adaptive two-stage Kalman filter (DATKF) is developed for multi-sensor system based on the ATKF. The effectiveness of the ATKF and the DATKF are illustrated by the Monte Carlo simulation results.

关键词： Kalman filters Mathematical model Adaptation models Equations Sensor fusion Vectors

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simulation of Protection Mechanisms Based on "Nervous Network System" against Infrastructure Attacks

Simulation of Protection Mechanisms Based on "Nervous Networ...

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21st Euromicro International Conference on parallel, distributed, and Network-Based Processing (PDP)

作者： Kotenko, Igor Shorov, Andrey Novikova, Evgenia Russian Acad Sci SPIIRAS St Petersburg Inst Informat & Automat Lab Comp Secur Problems St Petersburg Russia

ISBN: (纸本)9780769549392;9781467353212

The paper is devoted to the analysis of the network protection mechanism "nervous network system" based on the bio-inspired metaphor. Packet-level simulation is proposed in order to investigate the "nervous network system" protection mechanism. We describe the architecture of the protection system based on the given mechanism, its operation algorithms and present results of the experiments. Using obtained results the efficiency of the protection mechanism "nervous network system" against infrastructure attacks is analyzed.

关键词： computer network protection simulation bio-inspired approaches infrastructure attacks DDoS-attacks network worms

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TOWARDS THE DEPLOYMENT OF FASTFLOW ON distributed VIRTUAL ARCHITECTURES

TOWARDS THE DEPLOYMENT OF FASTFLOW ON DISTRIBUTED VIRTUAL AR...

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27th European Conference on Modelling and simulation, ECMS 2013

作者： Campa, Sonia Danelutto, Marco Torquati, Massimo Gonzalez-Velez, Horacio Popescu, Alina Madalina Univ Pisa Dept Comp Sci I-56100 Pisa Italy Natl Coll Ireland Cloud Competency Ctr Dublin Ireland

ISBN: (纸本)9780956494467

In this paper we investigate the deployment of Fast Flow applications on multi-core virtual platforms. The overhead introduced by the virtual environment has been measured using a well-known application benchmark both in the sequential and in the Fast Flow parallel setting. The overhead introduced for both the sequential and the parallel executions of CPU and memory-intensive applicatiotis is in the range of 2 - 30%, while the execution speedup is almost preserved. Additionally, we have ported the FastFlow benchmark to a cloud-based distributed environment in which a task-intensive application has been tested and the performance compared with the corresponding run on a smaller cluster of multi-core machines without virtualisation. From a parallel programming perspective, we have demonstrated how a unique programming framework based on the structured parallel programming paradigm can cope with very different kind of target architectures without any (or minimal) code intervention.

关键词： parallel Patterns Algorithmic Skeletons Language Constructs and Features parallel Programming distributed Architectures Performance Analysis Virtualisation Cloud Computing

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Towards Modeling Interconnection Networks of Exascale Systems with OMNeT plus

Towards Modeling Interconnection Networks of Exascale System...

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21st Euromicro International Conference on parallel, distributed, and Network-Based Processing (PDP)

作者： Yebenes, Pedro Escudero-Sahuquillo, Jesus Garcia, Pedro J. Quiles, Francisco J. Univ Castilla La Mancha Comp Syst Dept Escuela Super Ingn Informat Albacete 02071 Spain

ISBN: (纸本)9780769549392

One of the objectives of the decade for High-Performance Computing systems is to reach the exascale level of computing power before 2018, hence this will require strong efforts in their design. In that sense, High-speed low-latency interconnection networks are essential elements for exascale HPC systems. Indeed, the performance of the whole system depends on that of the interconnection network. In order to develop and test new techniques, suited to exascale HPC systems, software-based networks simulators are commonly used. As developing a network simulator from scratch is a difficult task, several platforms help the developers, OMNeT++ being one of the most popular. In this paper, we propose a new generic network simulator, exploiting the features of the OMNeT++ framework. The proposed tool is the first step to model HPC high-performance interconnection networks of exascale HPC systems: the message switching layer, routing and arbitration algorithms and buffer organizations have been modeled according to the current and expected characteristics of these systems. In addition, the tool has been designed so that it is possible to simulate networks of large size. simulation results, validated against real systems, show the accuracy of the model.

关键词： HPC interconnection networks Performance evaluation simulation tools OMNeT plus

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