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检索条件"任意字段=19th IASTED International Conference on Parallel and Distributed Computing and Systems"

共 564 条记录，以下是321-330 订阅

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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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Extremum Co-Energy Principle for Analyzing AC Current Distribution in parallel-Connected Wires of High Frequency Power Inductors 19

Extremum Co-Energy Principle for Analyzing AC Current Distri...

引用

19th international conference on Electrical Machines and systems (ICEMS)

作者： Shirakawa, T. Yamasaki, G. Umetani, K. Hiraki, E. Okayama Univ Kita Ku 3-1-1 Tshushimanaka Okayama Japan

ISBN: (纸本)9784886860989

Inductor winding is often composed as parallel-connected wires to suppress the copper loss. However, in high frequency inductors, the proximity effect can cause concentrated AC current distribution, hindering suppression of the copper loss. therefore, optimization of the physical inductor structure requires predicting the AC current distribution. Although simulators are commonly employed for predicting the AC current distribution, simple analytical methods are also required for effective design or invention of the inductor structure with less copper loss. the purpose of this paper is to propose a novel analysis method of the AC current distribution in parallel-connected wires of high frequency inductors. the proposed method is based on a novel insight that the AC current is distributed to give an extremum of the magnetic co-energy contributed by the AC flux and the AC current under the given total AC current. Experiments are presented in this paper to verify the proposed method.

关键词： AC current distribution Magnetic co-energy Inductor Magnetic circuit

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distributed Control System for Medium-Voltage STATCOM based on parallel Connected Power Converters 19

Distributed Control System for Medium-Voltage STATCOM based ...

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IEEE 19th international Power Electronics and Motion Control conference (PEMC)

作者： Stengl, Josef Komrska, Tomas Talla, Jakub Kosan, Tomas Burian, Petr Polacek, Libor Peroutka, Zdenek Turjanica, Pavel Univ West Bohemia Reg Innovat Ctr Elect Engn Plzen Czech Republic

ISBN: (纸本)9781728156606

Power semiconductor installations in medium-voltage power grids are usually built by numerous particular power converter units containing large number of power modules. Such large installations place high demands on control systems including precise timing and signal distribution across the whole system. this paper deals with a proposed distributed modular control system designed for STATCOM installed in a MV power grid of 22 kV. the proposed control system is designed for a real-time control of the converter with high-speed interference-immune communication, reliable synchronization of numerous PWM outputs and synchronous immediate blocking of fire pulses for safe central stop in case of error handling.

关键词： Converter control STATCOM parallel operation System integration

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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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Camouflage Learning

Camouflage Learning

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

作者： Sigg, Stephan Le Ngu Nguyen Ma, Jing Aalto Univ Dept Commun & Networking Helsinki Finland

ISBN: (纸本)9781665404242

Federated learning has been proposed as a concept for distributed machine learning which enforces privacy by avoiding sharing private data with a coordinator or distributed nodes. However, information on local data might be leaked through the model updates. We propose Camouflage learning, a machine learning scheme that distributes both the data and the model. Neither the distributed devices nor the coordinator is at any point in time in possession of the complete model. Furthermore, data and model are obfuscated during distributed model inference and distributed model training. Camouflage learning can be implemented with various Machine learning schemes.

关键词： Internet of things distributed machine learning Privacy Multi-key homomorphic encryption

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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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Adaptive parallel interval global optimization algorithms based on their performance for non-dedicated multicore architectures

Adaptive parallel interval global optimization algorithms ba...

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19th international Euromicro conference on parallel, distributed and Network-Based Processing (PDP)

作者： Sanjuan-Estrada, J. F. Casado, L. G. Garcia, I. Univ Almeria Dept Comp Architecture & Elect Almeria Spain Univ Malaga Dept Comp Architecture Malaga Spain

ISBN: (纸本)9780769543284

Branch and Bound (B&B) algorithms are highly parallelizable but they are irregular and dynamic load balancing techniques have been used to avoid idle processors. In previous work, authors use a dynamic number of threads at run time, which depends on the measured performance of the application for just one interval B&B algorithm running on the system. In this way, load balancing is achieved by thread generation decisions. In this work, we extend the study of these models to non-dedicated systems. In order to have a controlled testbed and comparable results, several instances of the interval global optimization algorithm are executed in the system, with the same model and problem to solve. therefore, a non-dedicated system is simulated because the execution of one application affects the execution of the other instances. this paper discusses different methods and models to decide when a thread should be created. Experiments show which of the proposed methods performs best in terms of maximum running time per application, using the fewest running threads. Following this parallel programming methodology, which is well suited for other B&B codes, applications can adapt their parallelism level to their performance and load of the system (at run time). this work represents a step forward towards increasing the performance of parallel algorithm running in non-dedicated and heterogeneous systems. the adaptive model discussed in this work is able to reduce the overall execution time for a set of instances of the same application running simultaneously. It also exempts the user from specifying the number of threads each application should use.

关键词： multi-threaded branch-and-bound global optimization non-dedicated multicore thread generation decisions sleeping threads kernel idle thread

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Consistent and Efficient Batch Operations for NoSQL Databases with Hybrid Timestamp 19th

Consistent and Efficient Batch Operations for NoSQL Database...

引用

19th international conference on Network and parallel computing (NPC)

作者： Yu, Qianmian Zhou, Jing Shanghai Jiao Tong Univ Shanghai Peoples R China

ISBN: (纸本)9783031213946;9783031213953

NoSQL databases, such as HBase or Cassandra employ weak consistency models to provide good scalability and availability. However, they often lack functionality that would help programmers reason about the correctness of their applications. Notably, they do not support consistent batch operations that could be used for important tasks, such as batch updates or maintaining secondary indexes. Some systems add transaction support to NoSQL databases. However, they often bring much overhead to existing single-row operations. this paper proposes an efficient algorithm for supporting batch operations on existing NoSQL databases. It reuses the existing local timestamp and adds a global timestamp to ensure batch operations' consistency. Our implementation based on HBase shows that compared to transactional systems, our algorithm improves the throughput of batch operations by up to 2x. Meanwhile, the latency of single-row operations only increases by around 12%. In comparison, other transactional systems increase their latency by over 3x.

关键词： Concurrency control NoSQL Databases distributed systems

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Mapping distributed heterogeneous systems to a common language by applying ontologies

Mapping distributed heterogeneous systems to a common langua...

引用

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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Towards Interactive Data Processing and Analytics Putting the Human in the Center of the Loop 19

Towards Interactive Data Processing and Analytics <i>Putting...

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19th international conference on Enterprise Information systems (ICEIS)

作者： Behringer, Michael Hirmer, Pascal Mitschang, Bernhard Univ Stuttgart Inst Parallel & Distributed Syst Univ Str 38 D-70569 Stuttgart Germany

ISBN: (纸本)9789897582493

Today, it is increasingly important for companies to evaluate data and use the information contained. In practice, this is however a great challenge, especially for domain users that lack the necessary technical knowledge. However, analyses prefabricated by technical experts do not provide the necessary flexibility and are often-times only implemented by the IT department if there is sufficient demand. Concepts like Visual Analytics or Self-Service Business Intelligence involve the user in the analysis process and try to reduce the technical requirements. However, these approaches either only cover specific application areas or they do not consider the entire analysis process. In this paper, we present an extended Visual Analytics process, which puts the user at the center of the analysis. Based on a use case scenario, requirements for this process are determined and, later on, a possible application for this scenario is discussed that emphasizes the benefits of our approach.

关键词： Visual Analytics Human In the Loop Interactive Analysis

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