Parallel computers for advanced information processing

America, Pierre; Hulshof, B. J. A.; Odijk, Eddy; Sijstermans, Frans; Twist, R. A. H. van; Wester, Rogier

doi:10.1109/40.62724

Cited by 8 publications

(2 citation statements)

References 10 publications

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“…3 An expansion of research into a variety of DSSs created greater confidence in the decision being generated by computers [37]. The context could be used to The growing volume of data had an overall effect on the efficiency of these systems.…”

Section: Decision-making Systemsmentioning

confidence: 99%

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Decision-Making in a Distributed and Dynamically Scalable Environments

Tweedale

2015

Intelligent Decision Technology Support in Practice

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Experiments conducted by the Knowledge-Based Intelligent Information and Engineering Systems (KES) Centre use Java to gain its many advantages, especially in a distributed and dynamically scalable environment. Interoperability within and across ubiquitous computing operations has evolved to a level where plug 'n' play protocols can be used to invoke common interfaces. Designers are able to create dynamic interfaces using reflectance to effectively and efficiently conduct distributed decision-making. Many applications now use mobile agents to support web-centric activities. One example includes: dynamic agent functionality within simulations that automatically adapt to incoming data and/or languages via scripts or messaging. This has been shown using demonstrations described herein. Many are web centric and involve data mining or the use of other types of Intelligent Decision Support System (IDSS).

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Section: Decision-making Systemsmentioning

confidence: 99%

“…This domain integrates techniques from within the Artificial Intelligence (AI) domain [1,2], using Advanced Information Processing (AIP) technology [3,4] that is programmed based on systems engineering best practice. Information Systems were initially used to process database queries in batch mode.…”

Section: Introductionmentioning

confidence: 99%

Decision-Making in a Distributed and Dynamically Scalable Environments

Tweedale

2015

Intelligent Decision Technology Support in Practice

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Node processor for a parallel object‐oriented total architecture A‐NET

Yoshinaga¹,

Baba²

1996

Systems & Computers in Japan

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SUMMARYA node processor for a highly parallel computer based on a parallelobject-orientedcomputational model has been developed. The node processor consists of a PE for the execution of methods and a router for the control of message communication. The prototype PE has a high-level instruction set that includes message sending and receiving instructions. It also supports both tagged data structure as a synchronization mechanism and dynamic data typing. The special hardware unit for tag processing achieves a speed up of about 44 percent for an add instruction.The router has been designed as independent to network-topology. It takes approximately 5.2 ps to transfer a 35-byte message to an adjacent node. Message transfers over multiple nodes take approximately 1.0 ps per hop.

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Formal techniques for parallel object-oriented languages

America

1991

Lecture Notes in Computer Science

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Parallel computers for advanced information processing

Cited by 8 publications

References 10 publications

Decision-Making in a Distributed and Dynamically Scalable Environments

Decision-Making in a Distributed and Dynamically Scalable Environments

Node processor for a parallel object‐oriented total architecture A‐NET

Formal techniques for parallel object-oriented languages

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