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Strategy for distributing procedures on distributed multiprocessors

Strategy for distributing procedures on distributed multipro...

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Proceedings of the 19th international conference on Industrial Electronics, Control and Instrumentation

作者： Nomura, Mitsunori Murakoshi, Hideki Funakubo, Noboru Tokyo Metropolitan Inst of Technology Tokyo Japan

ISBN: (纸本)0780308913

this paper proposes a strategy for distributing program fragments by focusing on each variable of which status is modified by actors. the parallel computing environment that users do not need to pay attention to messages is provided. On this strategy, distributed memory multiprocessors can execute programs written by procedural languages without any extension. Also this approach is useful to reduce the amount of data passing through the network . We simulated this strategy for simple problems and find that messages passed among processors efficiently.

关键词： Multiprocessing systems

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Communication-Space efficient parallel bitonic sorting on symmetric multiprocessors

Communication-Space efficient parallel bitonic sorting on sy...

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4th iasted international conference on Advances in Computer Science and Technology, ACST 2008

作者： thanakulwarapas, Tipraporn Werapun, Jeeraporn Ladkrabang Bangkok 10520 Thailand

ISBN: (纸本)9780889867307

this paper presents a new efficient data-exchange process in parallel sorting, which improves both communication time and memory space. In this communication-space efficient strategy, we proposed two new parallel sorting algorithms: 1) CSEBS (Communication-Space Efficient Bitonic Sort) algorithm and 2) CSEOE (Communication-Space Efficient Odd-Even MergeSort) algorithm. In addition, to evaluate the performance, we have implemented the CSEBS and the CSEOE algorithms on the SGI Origin2000. Investigated experimental results have been compared to those of the best of existing algorithm (CEBS: Communication Efficient Bitonic Sort). In the experiments, the proposed CSEBS algorithm yielded the improved results over those of the best of existing algorithm (CEBS) at least 11% on the system of size P = 4 and at least 31% on the system of size P = 8. Moreover our approach can save memory space up to 50%.

关键词： Electronic data interchange

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parallel and distributed Local Fisher Discriminant Analysis to Reduce Hyperspectral Images on Cloud computing Architectures 19th

Parallel and Distributed Local Fisher Discriminant Analysis ...

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19th international conference on Advanced Concepts for Intelligent Vision systems (ACIVS)

作者： Zaatour, Rania Bouzidi, Sonia Zagrouba, Ezzeddine Univ Tunis El Manar Inst Super Informat El Manar LR16ES06 Lab Rech Informat Modelisat & Traitement 2 Rue Abou Raihane Bayrouni Lariana 2080 Tunisia

ISBN: (纸本)9783030014490;9783030014483

Hyperspectral images are data cubes that offer very rich spectral and spatial resolutions. these images are so highly dimensioned that we generally reduce them in a pre-processing step in order to process them efficiently. In this context, Local Fisher Discriminant Analysis (LFDA) is a feature extraction technique that proved better than several commonly used dimensionality reduction techniques. However, this method suffers from memory problems and long execution times on commodity hardware. In this paper, to solve these problems, we first added an optimization step to LFDA to make it executable on commodity hardware and to make it suitable for parallel and distributed computing, then, we implemented it in a parallel and distributed way using Apache Spark. We tested our implementation on Amazon Web Services (AWS)'s Elastic MapReduce (EMR) clusters, using different hyperspectral images with different sizes. this proved higher performances with a speedup of up to 70x.

关键词： Local Fisher Discriminant Analysis (LFDA) Cloud computing Dimensionality reduction Hyperspectral images Amazon Web Services (AWS) Elastic MapReduce (EMR)

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Portable and scalable parallel applications with VCluster

Portable and scalable parallel applications with VCluster

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19th European conference on Modelling and Simulation, ECMS 2005

作者： Lee, Joohan Hua, Zhang Guha, Ratan School of Computer Science University of Central Florida FL 32816 United States

ISBN: (纸本)1842331124

Message passing based parallel programming paradigm and associated libraries such as MPI and PVM have proven its novelty and efficiency by successful applications in many diverse areas ranging from scientific computation, simulation, graphics, machine learning, to data mining. those tools have been de facto parallel programming libraries for cluster computing where a cluster consists of usually homogeneous uniprocessor machines. Recent advances in processor technologies made it possible to build a cluster of multiprocessor machines more economically. In addition, a new programming language, Java, and its associated technologies opened a door to flourish of new and more efficient development of distributed computing software. Virtual Cluster computing (VCluster) library is a portable parallel runtime system we have developed to support parallel programs that run on the cluster of heterogeneous uni- and multi-processors. In this paper, we briefly introduce the features of VCluster system and describe how parallel programs can be developed efficiently with VCluster. We also present the experimental results showing the performance of the developed system on two exemplary applications, heat diffusion and back propagation neural network, and compare them with other systems. © ECMS, 2005.

关键词： Message passing

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Mapping distributed heterogeneous systems to a common language by applying ontologies

Mapping distributed heterogeneous systems to a common langua...

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作者： Vinek, Elisabeth Beran, Peter Paul Schikuta, Erich CERN CH-1211 Genève 23 Switzerland Workflow Systems and Technology Group University of Vienna Rathausstrasse 19/9 1010 Vienna Austria

ISBN: (纸本)9780889868649

the classification and selection of services within distributed, heterogeneous environments is a non trivial task. For a proper selection and composition of services in such environments - for example in a Grid or Cloud - it is required to dispose of detailed information about the existing resources and their characteristics. Particularly for applying appropriate optimization strategies these metadata are indispensable in order to decide which is the actual best resource for a given task, respectively query. It is thus a crucial task to first identify, classify and describe all system components and their attributes in a common language. therefore a generic, high-level model of a service ontology is proposed, that exposes the fundamental building blocks of a distributed, service-oriented environment, by providing a structured collection of components and their functional and non-functional attributes. Finally, the applicability of the proposed ontology is verified by applying it to two distinct application scenarios, one from the domain of distributed Database Management systems, and one from a High-Energy Physics experiment.

关键词： Ontology

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Petrel: Community-aware Synchronous parallel for Heterogeneous Parameter Server 40

Petrel: Community-aware Synchronous Parallel for Heterogeneo...

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40th IEEE international conference on distributed computing systems (ICDCS)

作者： Zhou, Qihua Guo, Song Li, Peng Sun, Yanfei Li, Li Guo, Minyi Wang, Kun Hong Kong Polytech Univ Hong Kong Peoples R China Univ Aizu Aizu Wakamatsu Fukushima Japan Nanjing Univ Posts & Telecommun Nanjing Peoples R China Shanghai Jiao Tong Univ Shanghai Peoples R China Univ Calif Los Angeles Los Angeles CA USA

ISBN: (纸本)9781728170022

As to address the impact of heterogeneity in distributed Deep Learning (DL) systems, most previous approaches focus on prioritizing the contribution of fast workers and reducing the involvement of slow workers, incurring the limitations of workload imbalance and computation inefficiency. We reveal that grouping workers into communities, an abstraction proposed by us, and handling parameter synchronization in community level can conquer these limitations and accelerate the training convergence progress. the inspiration of community comes from our exploration of prior knowledge about the similarity between workers, which is often neglected by previous work. these observations motivate us to propose a new synchronization mechanism named Community-aware Synchronous parallel (CSP), which uses the Asynchronous Advantage Actor-Critic (A3C), a Reinforcement Learning (RL) based algorithm, to intelligently determine community configuration and fully improve the synchronization performance. the whole idea has been implemented in a system called Petrel that achieves a good balance between convergence efficiency and communication overhead. the evaluation under different benchmarks demonstrates our approach can effectively accelerate the training convergence speed and reduce synchronization traffic.

关键词： distributed System Deep Learning Parameter Server Heterogeneous Environment

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An automatic code generation tool for partitioned software in distributed systems

An automatic code generation tool for partitioned software i...

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19th international conference on VLSI Design held jointly with 5th international conference on Embedded systems Design

作者： Sairaman, Viswanath Ranganathan, Nagarajan Singh, Neeta S. Department of Computer Science and Engineering University of South Florida Tampa

ISBN: (纸本)0769525024

In distributed heterogeneous systems, the target application is partitioned and the partitions are executed in different computing units while satisfying the dependencies between the code partitions. Code generation is the process of converting the code partitions into individually executable code clusters and satisfying the code dependencies by adding communication primitives to send and receive data between dependent the code clusters. In this work, we describe a code generation tool that is applicable to procedural language based applications for distributed processing. the application programs along with the partition primitives are converted into independently executable concrete implementations. the process consists of two steps, first translating the primitives of the application program into equivalent code clusters, and then scheduling the implementations of these code clusters according to the inherent data dependencies. Further, the original source code needs to be reverse engineered in order to create a meta-data table describing the program elements and dependency trees. this data gathered, is used along with parallel Virtual Machine (PVM) primitives for enabling the communication between the partitioned programs in the distributed environment. the proposed code generation model has been implemented using C and tested for various application programs for functional verification. © 2006 IEEE.

关键词： distributed computer systems

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Task-migration support for parallel computing on shared virtual memory clusters

Task-migration support for parallel computing on shared virt...

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19th international conference on Computer Applications in Industry and Engineering, CAINE 2006

作者： Kongmunvattana, Angkul Department of Computer Science Columbus State University Columbus GA 31907 United States

ISBN: (纸本)9781604236750

Shared virtual memory (SVM) is an attractive approach for providing simple parallel programming environments on a cluster of personal computers or workstations, and symmetric-multiprocessor clusters. It permits programmers to assume the existence of shared memory image across physically distributed-memory systems, obviating the need of explicit inter-process communication operations. While several memory coherence protocols for improving SVM performance have been proposed and studied extensively, very little attention has been given to improve its reliability despite the fact that wider acceptance of SVM in production systems is depending on it. In this paper, we propose a protocol suite for task-migration support in SVM. Our protocol suite consists of a checkpointing protocol, a message-logging protocol, and a fast reconfiguration protocol. Our experimental results demonstrated that our checkpointing protocol incurs the execution time overhead of 0.01% to 4% when task-migration is initiated every 2-minute interval. Our message-logging protocol incurs only 1% to 3% overhead in logging messages and enables our reconfiguration protocol to drastically accelerate the migration process, ranging from 2% to 67% by speeding up the execution replay at the target node. Hence, our protocol suite makes task-migration support in SVM an attractive reality.

关键词： Personal computers

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Scalable distributed Data Anonymization

Scalable Distributed Data Anonymization

引用

19th IEEE international conference on Pervasive computing and Communications (IEEE PerCom)

作者： di Vimercati, Sabrina De Capitani Facchinetti, Dario Foresti, Sara Oldani, Gianluca Paraboschi, Stefano Rossi, Matthew Samarati, Pierangela Univ Milan Milan Italy Univ Bergamo Bergamo Italy

ISBN: (纸本)9781665404242

We present an approach for enabling a distributed anonymization process over large collections of sensor data. Our approach anonymizes large datasets (which might not fit in main memory) using an arbitrary number of workers within the Spark framework. We describe how to parallelize the anonymization process through a proper partitioning of the dataset. Our experimental evaluation shows that the proposed approach is scalable and do not affect the quality of the anonymized dataset.

关键词： Large dataset

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Reconfiguration Stability of Adaptive distributed parallel Applications through a Cooperative Predictive Control Approach

Reconfiguration Stability of Adaptive Distributed Parallel A...

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19th international conference on Euro-Par

作者： Mencagli, Gabriele Vanneschi, Marco Vespa, Emanuele Univ Pisa Dept Comp Sci I-56127 Pisa Italy

ISBN: (纸本)9783642400476

distributed parallel applications executed on heterogeneous and dynamic environments need to adapt their configuration (in terms of parallelism degree and parallelism form for each component) in response to unpredictable factors related to the physical platform and the application semantics. On emerging Cloud computing scenarios, reconfigurations induce economic costs and performance degradations on the execution. In this context, it is of paramount importance to define smart adaptation strategies able to achieve properties like control optimality (optimizing the application global QoS) and reconfiguration stability, expressed in terms of number of reconfigurations and the average time for which a configuration is not modified. In this paper we introduce a methodology to address this issue, based on Control theory and Optimal Control foundations. We present a first validation of our approach in a simulation environment, outlining its effectiveness and feasibility.

关键词： distributed parallel Computations Reconfigurations Autonomic computing Model-based Predictive Control

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