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About 10,000 papers for “Parallel processing”

Parallel distributed processing

Kim Plunkett · Psyke & Logos · 2023

After briefly reviewing the appealing psychological properties of PDP systems, an introduction to their historical roots and basic computational mechanisms are provided. A variety of network architectures are described including one-layered perceptrons, backpropagation networks, Boltzmann machines and recurrent systems. Three PDP simulations are analysed: First, a model that purports to learn the past tense of English verbs; Second, a constraint satisfaction network which is able to interpret the alternative configurations of a Necker cube; Finally, a recurrent network which is able to decipher membership of grammatical classes from word-order information. The notion that PDP approaches provide a sub-symbolic account of cognitive processes, in contrast to theclassical symbolic view, is examined. The article concludes with brief speculation concerning the explanatory power of PDP systems at the cognitive level of functioning.

Cited by 37Open access

Processing Parallel Texts

Eric Tjong Kim Sang · 1997

It will able students to look for translations of words in a context. Third, one can use the corpus in linguistic research for studying how translators work. And fourth, one can use a sentence aligned corpus for extracting translation dictionaries, a topic which we will deal with in the next section. We will use computational statistical methods for finding the correspondences between sentences. The reason for using a computational method is that we have to process a large amount of text and a computer will give us results faster than a human being. Statistical methods will not give us perfect alignment results. The results will probably be better if we use a machine translation system or a machine-readable translation dictionary for making alignment structures. However we do not have a good working machine translation system available and the machine-readable translation dictionaries that we have are very incomplete. Therefore we will use statistical techniques only. There are seve

Cited by 0

Parallel Distributed Processing

David E. Rumelhart, James L. McClelland, AU · The MIT Press eBooks · 1986

What makes people smarter than computers? These volumes by a pioneering neurocomputing group suggest that the answer lies in the massively parallel architecture of the human mind. They describe a new theory of cognition called connectionism that is challenging the idea of symbolic computation that has traditionally been at the center of debate in theoretical discussions about the mind. The authors' theory assumes the mind is composed of a great number of elementary units connected in a neural network. Mental processes are interactions between these units which excite and inhibit each other in parallel rather than sequential operations. In this context, knowledge can no longer be thought of as stored in localized structures; instead, it consists of the connections between pairs of units that are distributed throughout the network. Volume 1 lays the foundations of this exciting theory of parallel distributed processing, while Volume 2 applies it to a number of specific issues in cognitive science and neuroscience, with chapters describing models of aspects of perception, memory, language, and thought.

Cited by 15,290

Parallel processing ITS

Wesley C. Fan, J.A. Halbleib · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 1996

This report provides a users` guide for parallel processing ITS on a UNIX workstation network, a shared-memory multiprocessor or a massively-parallel processor. The parallelized version of ITS is based on a master/slave model with message passing. Parallel issues such as random number generation, load balancing, and communication software are briefly discussed. Timing results for example problems are presented for demonstration purposes.

Cited by 1Open access

Massively parallel processing

Steven P. Levitan, Donald M. Chiarulli · 2009

In this paper we will identify those aspects of the concurrent computing landscape that have changed since the 1980's and how those changes might impact the efficacy of parallel computing as we move from single- to multi- to many- and to massive numbers of processing cores.

Cited by 2

Parallel Processing System

NASA Technical Reports Server (NASA)

In order to process very high resolution image data from spacecraft sensors, Goddard Space Flight Center commissioned the development of a Massively Parallel Processor (MPP) based upon simultaneous processing of image picture elements (pixels) rather than serial processing. It resulted in a considerable increase in computational speed. MasPar Computer Corporation's MasPar MP-1 incorporates this technology, allowing users to attack a variety of computationally-intensive problems. The MP-1 is no longer manufactured but has been replaced by the MP-2, a more advanced model.

Cited by 0Open access

Distributed Parallel Processing

Wu, Adrian · Scholarship@Western (Western University) · 2021

This report summarizes the development of testing new microcontrollers in performing image processing and parallel processing to solve the problem of testing and deploying expensive computer hardware technology in space. The project determined that the I2C communication protocol should be converted to an alternative protocol to maximize data transfer in parallel processing. This report also analyzes the software components and hardware components of the Distributed Parallel Processing project.\nThis project was to research the alternative protocols for the recently developed project Distributed Parallel Processing with CubeSats. There project was to develop a suitable microcontroller to perform image processing techniques with the use of parallel processing to solve hardware limitations of data computing within space.

Cited by 0Open access