Current trends in information systems technology increase the advantages of developing an increasingly complex distributed processing capacity. distributed processing networks (DPNs) are expected to evolve gradually f...
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Current trends in information systems technology increase the advantages of developing an increasingly complex distributed processing capacity. distributed processing networks (DPNs) are expected to evolve gradually from centralized systems into more complex configurations. The introduction of major changes in organizational Structure, such as those precipitated by mergers or acquisitions, also require rapid changes to the DPN. This paper describes four distributed processing configurations. It then presents a case: the evolution of the DPN in a large corporate bank and holding company. This case illustrates configuration changes over the life cycle of the DPN of the bank and provides insight into the process of planning for DPN change. A tendency to return toward centralization is noted in this case; this may cause practitioners to rethink their own DPN growth plans.
The potential abilities of micro-computers make it possible that low cost training simulators are available. distributed processing is an effective way for implementation of this kind of simulator. This article presen...
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The potential abilities of micro-computers make it possible that low cost training simulators are available. distributed processing is an effective way for implementation of this kind of simulator. This article presents a training simulator architecture based on distributed processing and discusses its role in the training simulation support system.
Great strides have been made in computational methods for social systems. However, real-world modeling problems require novel computational techniques to support modeling and analyses with time and resource constraint...
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Great strides have been made in computational methods for social systems. However, real-world modeling problems require novel computational techniques to support modeling and analyses with time and resource constraints. The emergence of parallel architectures, in the form of multicore/manycore processors, and distributed platforms, have led to the formulation of new approaches for large-scale information processing, modeling and simulation, and new tools for analysis. Due to the inherent interdisciplinary nature of the research in computational social systems, techniques that utilize parallel and distributed algorithms, systems, and methodologies continue to evolve in diverse disciplines. This special issue provides a platform to bring together these researchers to showcase innovative research in computational social systems that leverage the emerging trends in parallel and distributed processing, algorithms, computational modeling, and high-performance computing. The call for papers was issued in 2017, with the submission deadline of December 29, *** received a number of strong submissions. The papers went through a rigorous review process and six high-quality papers were selected. The special issue papers are distributed across multiple issues of the TRANSACTIONS, specifically the last two issues of 2018 and this issue. We provide brief descriptions of the papers below.
This paper describes a multi-parameter data acquisition, display, and on-line analysis system. The system enables the experimentalist to analyze multi-parameter data during acquisition. The design is an extension of t...
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This paper describes a multi-parameter data acquisition, display, and on-line analysis system. The system enables the experimentalist to analyze multi-parameter data during acquisition. The design is an extension of the system described at the IEEE/NSS/SSCS Meeting in October, 1976. Input from eight physical devices, independently or in coincidence, can be acquired and stored in 16 configurations in increment or list mode. During acquisition the data can be analyzed on-line by user-generated microprograms and stored in 16 additional independent configurations. This capability is achieved through the use of a high-speed synchronous bus, distributed processing (seven microcomputers and microprocessors), and overlapping memory cycles. User-oriented programs provide simple access to system resources, microprogram generation and execution, and automatic system set-up and operation.
The data output rates of modern radio interferometric telescopes make the traditional data reduction process impractical in many cases. We report on the implementation of a lightweight infrastructure, named AIPSLite, ...
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The data output rates of modern radio interferometric telescopes make the traditional data reduction process impractical in many cases. We report on the implementation of a lightweight infrastructure, named AIPSLite, that enables the deployment of AIPS interferometric processing routines on distributed systems in an autonomous and fault tolerant manner. We discuss how this approach was used to search for sources of 6.7 GHz methanol maser emission in the Cep A region with the European VLBI Network (EVN). The field was searched out to a radius of 1.25 min(-1) at milli-arcsecond spatial resolution and 1024 frequency channels with 0.088 km s(-1) velocity resolution. The imaged data was on the order of 30 TB. processing was performed on 128 processors of the Irish Centre for High End Computing (ICHEC) linux cluster with a run time of 42 h, and a total of 212 CPU days.
In this article we try to describe how the modular interactive tiles system (MITS) can be a valuable tool for introducing students to interactive parallel and distributed processing programming. This is done by provid...
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In this article we try to describe how the modular interactive tiles system (MITS) can be a valuable tool for introducing students to interactive parallel and distributed processing programming. This is done by providing a hands-on educational tool that allows a change in the representation of abstract problems related to designing interactive parallel and distributed systems. Indeed, the MITS seems to bring a series of goals into education, such as parallel programming, distributedness, communication protocols, master dependency, software behavioral models, adaptive interactivity, feedback, connectivity, topology, island modeling, and user and multi-user interaction which can rarely be found in other tools. Finally, we introduce the system of modular interactive tiles as a tool for easy, fast, and flexible hands-on exploration of these issues, and through examples we show how to implement interactive parallel and distributed processing with different behavioral software models such as open loop, randomness-based, rule-based, user interaction-based, and AI- and ALife-based software.
Neural networks offer an intriguing set of techniques for learning based on the adjustment of weights of connections between processing units. However, the power and limitations of connectionist methods for learning, ...
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Neural networks offer an intriguing set of techniques for learning based on the adjustment of weights of connections between processing units. However, the power and limitations of connectionist methods for learning, such as the method of back propagation in parallel distributed processing networks, are not yet entirely clear. A set of experiments that more precisely identify the power and limitations of the method of back propagation is reported on. The experiment on learning to compute the exclusive-or function suggests that the computational efficiency of learning by the method of back propagation depends on the initial weights in the network. The experiment on learning to play tic-tac-toe suggests that the information content of what is learned by the back propagation method is dependent on the initial abstractions in the network. It also suggests that these abstractions are a major source of power for learning in parallel distributed processing networks. In addition, it is shown that the learning task addressed by connectionist methods, including the back propagation method, is computationally intractable. These experimental and theoretical results strongly indicate that current connectionist methods may be too limited for the complex task of learning they seek to solve. It is proposed that the power of neural networks may be enhanced by developing task-specific connectionist methods.
The technology of multilevel distributed automated processing of measurement data by an S/C automated control system based on a problem-oriented variant of the system approach and corresponding logical structure of th...
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The technology of multilevel distributed automated processing of measurement data by an S/C automated control system based on a problem-oriented variant of the system approach and corresponding logical structure of the set of models and algorithms, which provides the search for rational solutions for the distributed processing task, are considered. The results of full-scale simulation are presented.
The Intense Pulsed Neutron Source (IPNS) at Argonne National Laboratory is a major new useroriented facility which has come on line for basic research in neutron scattering and neutron radiation damage. This paper des...
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The Intense Pulsed Neutron Source (IPNS) at Argonne National Laboratory is a major new useroriented facility which has come on line for basic research in neutron scattering and neutron radiation damage. This paper describes the distributed processing data acquisition system which handles data collection and instrument control for the time-of-flight neutron scattering instruments. The topics covered include the overall system configuration, each of the computer subsystems, communication protocols linking each computer subsystem, and an overview of the software which has been developed.
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