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An evaluation of the network simulators in large-scale distributed simulations 11

An evaluation of the network simulators in large-scale distr...

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1st International workshop on High Performance Computing, Networking and Analytics for the Power Grid, HiPCNA-PG'11, Co-located with SC'11

作者： Ciraci, Selim Akyol, Bora Pacific Northwest National Laboratory Richland WA United States

ISBN: (纸本)9781450310611

Networks for the smart grids are characterized by millions of sensor nodes exchanging information about the status of the grid. This information exchange must be realized reliably and efficiently due to the mission critical nature of the power grid. Hence, the applications and the network protocols developed for the smart grid need go through rigorous testing and analysis before deployment. Developers usually do not have access to such a large-scale network that can be used as a controlled test-bed;therefore, network simulation becomes an essential tool for testing. Network simulation is a well studied problem in the literature and there are various widely used network simulators. These simulators can be adopted for testing applications and protocols of the smart grid. Due to the scale of these networks, parallel/distributed simulations need to be conducted. Even though most network simulators support distributed simulations, generating a large-scale network model to simulate can still be a cumbersome task. In this survey, we describe a selection of commonly used network simulators and evaluate them with respect to the following features that can aid users in distributed simulations of large-scale networks: transparency of setting up distributed simulation, automated topology generation, information hiding, lightweight routing protocols, network error simulation, evaluation of the network model during simulation and trace analysis tools. As a complementary result, we identify two issues with network simulators that can be addressed with runtime steering methods. © 2011 ACM.

关键词： Smart power grids

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Intelligent distributed Computing V: proceedings of the 5th International Symposium on Intelligent distributed Computing - IDC 2011, Delft, the ... 2011

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2011年

作者： Frances M T Brazier Kees Nieuwenhuis Gregor Pavlin Martijn Warnier Costin Bădică

ISBN: (纸本)9783642240126

This book represents the combined peer-reviewed proceedings of the Fifth International Symposium on Intelligent distributed Computing -- IDC 2011 and of the Third International workshop on Multi-Agent Systems Technology and Semantics -- MASTS 2011. Both events were held in Delft, The Netherlands during October 5-7, 2011. The 33 contributions published in this book address many topics related to theory and applications of intelligent distributed computing and multi-agent systems, including: adaptive and autonomous distributed systems, agent programming, ambient assisted living systems, business process modeling and verification, cloud computing, 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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Protein structure prediction using particle swarm optimization and a distributed parallel approach

Protein structure prediction using particle swarm optimizati...

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3rd workshop on Bio-Inspired and Self-Algorithms for distributed Systems, Co-located with the 8th IEEE/ACM International Conference on Autonomic Computing, ICAC 2011

作者： Kondov, Ivan Berlich, Rüdiger Steinbuch Centre for Computing Karlsruhe Institute of Technology P.O. Box 3640 76021 Karlsruhe Germany

ISBN: (纸本)9781450307338

Particle swarm optimization (PSO) is a powerful technique for computer aided prediction of proteins' three-dimensional structure. In this work, employing an all-atom force field we demonstrate the efficiency of the standard PSO algorithm, as implemented in the ArFlock library, for finding the folded state of two proteins of different sizes starting from completely extended conformations. In particular, the predicted structure of the larger protein is in good agreement with the structure from the Protein Data Bank within the experimental resolution. We also show that parallelization of the PSO speeds up the simulation linearly with the number of workers and reduces the time for predictions dramatically without loss of accuracy. © 2011 ACM.

关键词： Proteins

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Development and evaluation of a GPU-optimized N-body term for the simulation of biomolecules

Development and evaluation of a GPU-optimized N-body term fo...

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workshop on Computational Methods in Science and Engineering, SimLabs@KIT 2010

作者： Strunk, Timo Wolf, Moritz Wenzel, Wolfgang Institute of Nanotechnology Hermann-von-Helmholtz-Platz 1 76344 Eggenstein-Leopoldshafen Germany

ISBN: (纸本)9783866446939

Advancements in massively parallel sampling of the conformational space of biomolecules enables, for example, protein structure prediction, in-silico drug development and cell signaling. Despite the existence of highly distributed protein simulation architectures like POEM@HOME, there was no abundant computational resource both strong in serial strength and in parallel sampling. In this study we investigate the optimization of our N-body Lennard Jones force field for the efficient Monte-Carlo sampling of small to medium-size biomolecules on massively parallel architectures, like modern GPUs. We benchmark both NVIDIA and AMD GPU chipsets in the OpenCL framework in comparison to CPU architectures. The N-body interactions are broken down into small local grids, which fit into the local GPU caches to permit simultaneous evaluation. Using the N-body term we accelerate the Lennard-Jones and Clash-Potential of the complete freeenergy PFF02 [1] shown to fold a multitude of different protein-folds and implement a modified structurebased Lennard Jones force field. We proof the applicability of our novel force field by reversible foldingsimulations of a three-helix protein using this Go-potential from completely unfolded structures.

关键词： Graphics processing unit

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2011 IEEE 7th International workshop on Storage Network Architecture and parallel I/Os, SNAPI 2011

2011 IEEE 7th International Workshop on Storage Network Arch...

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2011 IEEE 7th International workshop on Storage Network Architecture and parallel I/Os, SNAPI 2011

ISBN: (纸本)9781457704284

The proceedings contain 36 papers and 2 Power Point presentations. The topics discussed include: qualifying reliability of solid-state storage from multiple aspects;a program context-aware data separation technique for reducing garbage collection overhead in NAND flash memory;towards simulation of parallel file system scheduling algorithms with PFSsim;scalable distributed directory implementation on orange file system;hierarchical RAID (HRAID): organization, operation, reliability, and performance;a statistical evaluation of the impact of parameter selection on storage system benchmarks;performance models of flash-based solid-state drives for real workloads;sampling-based garbage collection metadata management for flash-based storage;data allocation strategies for the management of quality of service in virtualised storage systems;and RAID6L: a log-assisted RAID6 storage architecture with improved write performance.

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EGPGV 2011 - 11th Eurographics Symposium on parallel Graphics and Visualization

EGPGV 2011 - 11th Eurographics Symposium on Parallel Graphic...

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11th Eurographics Symposium on parallel Graphics and Visualization, EGPGV 2011

ISBN: (纸本)9783905674323

The proceedings contain 14 papers. The topics discussed include: optimal multi-image processing streaming framework on parallel heterogeneous systems;parallel gradient domain processing of massive images;distributed OpenGL rendering in network bandwidth constrained environments;revisiting parallel rendering for shared memory machines;cross-segment load balancing in parallel rendering;load balancing utilizing data redundancy in distributed volume rendering;real-time ray tracer for visualizing massive models on a cluster;interactive particle tracing in time-varying tetrahedral grids;efficient I/O for parallel visualization;parallel computational steering and analysis for HPC applications using a ParaView interface and the HDF5 DSM virtual file driver;parallel in situ coupling of simulation with a fully featured visualization system;and a preview and exploratory technique for large-scale scientific simulations.

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Integrated data placement and task assignment for scientific workflows in Clowds

Integrated data placement and task assignment for scientific...

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4th International workshop on Data-Intensive distributed Computing, DIDC 2011, held in conjunction with the ACM International Conference on High-Performance parallel and distributed Computing, HPDC 2011

作者： Çatalyürek, Ümit V. Kaya, Kamer Uçar, Bora Biomedical Informatics Ohio State University United States Parallel Algorithms Group CERFACS France CNRS ENS Lyon France

ISBN: (纸本)9781450307048

We consider the problem of optimizing the execution of dataintensive scientific workflows in the Cloud. We address the problem under the following scenario. The tasks of the workflows communicate through files;the output of a task is used by another task as an input file and if these tasks are assigned on different execution sites, a file transfer is necessary. The output files are to be stored at a site. Each execution site is to be assigned a certain percentage of the files and tasks. These percentages, called target weights, are pre-determined and reflect either user preferences or the storage capacity and computing power of the sites. The aim is to place the data files into and assign the tasks to the execution sites so as to reduce the cost associated with the file transfers, while complying with the target weights. To do this, we model the workflow as a hypergraph and with a hypergraph-partitioning-based formulation, we propose a heuristic which generates data placement and task assignment schemes simultaneously. We report simulation results on a number of real-life and synthetically generated scientific workflows. Our results show that the proposed heuristic is fast, and can find mappings and assignments which reduce file transfers, while respecting the target weights. Copyright 2011 ACM.

关键词： Computing power

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Nearest neighbor task allocation for large-scale distributed systems

Nearest neighbor task allocation for large-scale distributed...

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International workshop on Ad Hoc, Sensor and P2P Networks

作者： Tada, Harumasa Faculty of Education Kyoto University of Education 1 Fukaskusa-Fujinomori-cho Fushimi-ku Kyoto 612-8522 Japan

ISBN: (纸本)9780769543499

In this paper, we consider distributed task allocation in distributed systems. In order to improve the performance, using load information of nodes is promising. In reality, however, it is common that load information is not up to date when it is used. Load information may be updated only periodically, or the communication delay for a task to move to other node makes load information out of date. The performance of task allocation schemes is significantly damaged if the load information is old. In order to tackle this problem, we introduce the nearest neighbor approach which is originally proposed for parallel computing. Restricting the communication to between neighboring nodes, the effect of communication delay is suppressed. simulation results showed that our proposed scheme suppresses the effect of old load information and shows better performance than a previously proposed scheme.

关键词： load balancing old load information parallel computing task assignment

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Euro-Par 2010 - parallel Processing workshops: HeteroPar, HPPC, HiBB, CoreGrid, UCHPC, HPCF, PROPER, CCPI, VHPC, Revised Selected Papers

Euro-Par 2010 - Parallel Processing Workshops: HeteroPar, HP...

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parallel Processing workshops, Euro-Par 2010: HeteroPar 2010, HPPC 2010, HiBB 2010, CoreGrid 2010, UCHPC 2010, HPCF 2010, PROPER 2010, CCPI 2010, VHPC 2010

ISBN: (纸本)9783642218774

The proceedings contain 77 papers. The topics discussed include: accurate emulation of CPU performance;case studies in automatic GPGPU code generation with 11c;on the evaluation of JavaSymphony for heterogeneous multi-core clusters;MAHEVE: an efficient reliable mapping of asynchronous iterative applications on volatile and heterogeneous environments;dynamic load balancing of parallel computational iterative routines on platforms with memory heterogeneity;dealing with heterogeneity for mapping MMOFPS in distributed systems;max-plus algebra and discrete event simulation on parallel hierarchical heterogeneous platforms;HPPC 2010: forth workshop on highly parallel processing on a chip;the massively parallel computing model GCA;evaluation of low-overhead organizations for the directory in future many-core CMP;a work stealing scheduler for parallel loops on shared cache multicores;and resource-agnostic programming for many-core microgrids.

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Demo: A distributed architecture for heterogeneous multi sensor-task allocation

Demo: A distributed architecture for heterogeneous multi sen...

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International workshop on Localized Algorithms and Protocols for Wireless Sensor Networks

作者： Pizzocaro, Diego Preece, Alun Chen, Fangfei Porta, Tom La Bar-Noy, Amotz School of Computer Science and Informatics Cardiff University United Kingdom Dept. of Computer Science and Engineering Penn State University United States Dept. of Computer Science Graduate Center City University New York United States

ISBN: (纸本)9781457705137

To complement our paper "A distributed Architecture For Heterogeneous Multi-Sensor Task Allocation" published in DCOSS 2011 conference proceedings, we will demonstrate the current implementation of our architecture for Multi-Sensor Task Allocation (MSTA) [2] shown in Figure 1. This consists of a prototype interface for task submission, and a simulated sensor network serving other mobile users on the field competing for the same sensing resources. The prototype interface is implemented on two different mobile devices (iPhone & iPad1), dynamically interacting with a heterogeneous sensor network simulated in Java on top of the REPAST Symphony2 discrete time simulation environment. A video of the demo is available at http://***/watch?vQzrpKRhGFRU. © 2011 IEEE.

关键词： Sensor networks

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