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Distributed Computing For Signal Processing Modeling Of Asynchronous Parallel Computation Appendix A


Distributed Computing For Signal Processing Modeling Of Asynchronous Parallel Computation Appendix A
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Distributed Computing For Signal Processing Modeling Of Asynchronous Parallel Computation Appendix A


Distributed Computing For Signal Processing Modeling Of Asynchronous Parallel Computation Appendix A
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Author : H. J. Siegel
language : en
Publisher:
Release Date : 1983

Distributed Computing For Signal Processing Modeling Of Asynchronous Parallel Computation Appendix A written by H. J. Siegel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with categories.


Research in the area of distributed computing systems for digital signal processing applications is described. The work involves the modeling of asynchronous parallel processes and computer systems for executing these processes. The objective of the work is to develop techniques by which the compatibility of an architecture and an algorithm can be evaluated. The three part effort addresses: 1. Modeling of asynchronous parallel computer system architectures; 2. Modeling of asynchronous parallel computational processes; 3. Evaluation of alternative architectures relative to classes of computational the approach to the modeling of parallel processes and architectures is to examined the parallelism in a variety of one- and two-dimensional signal processing tasks. This includes a study of the ways in which different types of digital signal processing tasks can be executed on different types of architectures. The goal is to develop one set of features by which processes can be characterized, and another set of features by which parallel architectures can be characterized: and to use these features to obtain measures for the evaluation of process/architecture compatibility. This research will contribute to the understanding both of how distributed computer systems can be designed for the execution of a class of tasks, and of how signal processing tasks can be decomposed for execution on a distributed computing system. (Author).



Distributed Computing For Signal Processing Modeling Of Asynchronous Parallel Computation Appendix F Studies In Parallel Image Processing


Distributed Computing For Signal Processing Modeling Of Asynchronous Parallel Computation Appendix F Studies In Parallel Image Processing
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Author : Gie-Ming Lin
language : en
Publisher:
Release Date : 1984

Distributed Computing For Signal Processing Modeling Of Asynchronous Parallel Computation Appendix F Studies In Parallel Image Processing written by Gie-Ming Lin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with categories.


The supervised relaxation operator combines the information from multiple ancillary data sources with the information from multispectral remote sensing image data and spatial context. Iterative calculation integrate information from the various sources, reaching a balance in consistency between these sources of information. The supervised relaxation operator is shown to produce substantial improvements in classification accuracy compared to the accuracy produced by the conventional maximum likelihood classifier using spectral data only. The convergence property of the supervised relaxation algorithm is also described. Improvement in classification accuracy by means of supervised relaxation comes at a high price in terms of computation. In order to overcome the computation-intensive problem, a distributed/parallel implementation is adopted to take advantage of a high degree of inherent parallelism in the algorithm.



Energy Research Abstracts


Energy Research Abstracts
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Author :
language : en
Publisher:
Release Date : 1990

Energy Research Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Power resources categories.




Distributed Computing For Signal Processing Modeling Of Asynchronous Parallel Computation Appendix G On The Design And Modeling Of Special Purpose Parallel Processing Systems


Distributed Computing For Signal Processing Modeling Of Asynchronous Parallel Computation Appendix G On The Design And Modeling Of Special Purpose Parallel Processing Systems
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Author : Bradley W. Smith
language : en
Publisher:
Release Date : 1985

Distributed Computing For Signal Processing Modeling Of Asynchronous Parallel Computation Appendix G On The Design And Modeling Of Special Purpose Parallel Processing Systems written by Bradley W. Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with categories.


As the capabilities of computing machinery grow, so does the diverse variety of their applications. The feasibility of many approaches to these applications depends solely upon the existence of computing machinery capable of performing these tasks within a given time constraint. Because the majority of the available computing machinery is general purpose in nature, tasks that do not require purpose facilities, but that do require high throughput, are condemned to execution on expensive general purpose hardware. This research describes several tasks that require fast computing machinery. These tasks do not require general purpose facilities in the sense that the computing machinery used will only perform a fixed set of tasks. Some of the tasks are simple in nature, but are required to execute on very large data sets. Other tasks are computationally intensive in addition to possibly involving large data sets. Both simple and complex algorithms are considered. The discussion includes a description of the tasks. All of the above tasks are useful; however, their value is determined in part by the time required to perform them. This work discusses three architectures for performing remote sensing tasks. These architectures can execute the described tasks more quickly than conventionally available hardware.



Distributed Computing For Signal Processing Modeling Of Asynchronous Parallel Computation Appendix C Fault Tolerant Interconnection Networks And Image Processing Applications For The Pasm Parallel Processing Systems


Distributed Computing For Signal Processing Modeling Of Asynchronous Parallel Computation Appendix C Fault Tolerant Interconnection Networks And Image Processing Applications For The Pasm Parallel Processing Systems
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Author : George B Adams (III.)
language : en
Publisher:
Release Date : 1984

Distributed Computing For Signal Processing Modeling Of Asynchronous Parallel Computation Appendix C Fault Tolerant Interconnection Networks And Image Processing Applications For The Pasm Parallel Processing Systems written by George B Adams (III.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with categories.


The demand for very high speed data processing coupled with falling hardware costs has made large-scale parallel and distributed computer systems both desirable and feasible. Two modes of parallel processing are single instruction stream-multiple data stream (SIMD) and multiple instruction stream - multiple data stream (MIMD). PASM, a partitionable SIMD/MIMD system, is a reconfigurable multimicroprocessor system being designed for image processing and pattern recognition. An important component of these systems is the interconnection network, the mechanism for communication among the computation nodes and memories. Assuring high reliability for such complex systems is a significant task. Thus, a crucial practical aspect of an interconnection network is fault tolerance. In answer to this need, the Extra Stage Cube (ESC), a fault-tolerant, multistage cube-type interconnection network, is defined. The fault tolerance of the ESC is explored for both single and multiple faults, routing tags are defined, and consideration is given to permuting data and partitioning the ESC in the presence of faults. The ESC is compared with other fault-tolerant multistage networks. Finally, reliability of the ESC and an enhanced version of it are investigated. Keywords: Theses.



Distributed Computing For Signal Processing Modeling Of Asynchronous Parallel Computation Appendix B Design Of The Operating System For The Pasm Parallel Processing System


Distributed Computing For Signal Processing Modeling Of Asynchronous Parallel Computation Appendix B Design Of The Operating System For The Pasm Parallel Processing System
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Author : David L. Tuomenoksa
language : en
Publisher:
Release Date : 1983

Distributed Computing For Signal Processing Modeling Of Asynchronous Parallel Computation Appendix B Design Of The Operating System For The Pasm Parallel Processing System written by David L. Tuomenoksa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with categories.


As a result of advances in microcomputer technology, it is now feasible to build large-scale parallel processing systems capable of performing image processing tasks more rapidly than previously possible. Such parallel processing systems add levels of complexity for both the operating system and the application software. They impose constraints that make a direct transplantation of conventional (multiprogrammed) operating systems extremely inefficient (Bae80). This thesis considers the design of PASMOS, a distributed operating system for the PASM parallel processing system. PASM is a reconfigurable multimicrocomputer system which is being designed at Purdue University for image processing and pattern recognition applications. The special purpose nature of PASM has been exploited in the design of PASMOS. PASMOS has a hierarchical structure and is distributed throughout the hardware components of PASM. It utilizes the PASM hardware to create an execution environment (virtual machine) for parallel processing tasks. Facilities provided by PASMOS include those for task management and scheduling, memory management, user interaction, process communication and synchronization, and protection. The general performance of the PASM system has been examined both analytically and via simulation.



Government Reports Announcements Index


Government Reports Announcements Index
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Author :
language : en
Publisher:
Release Date : 1986-08

Government Reports Announcements Index written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986-08 with Science categories.




Research In Progress


Research In Progress
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Author : United States. Army Research Office
language : en
Publisher:
Release Date : 1985

Research In Progress written by United States. Army Research Office and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Military research categories.


Vols. for 1977- consist of two parts: Chemistry, biological sciences, engineering sciences, metallurgy and materials science (issued in the spring); and Physics, electronics, mathematics, geosciences (issued in the fall).



Research In Progress


Research In Progress
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Author :
language : en
Publisher:
Release Date : 1983

Research In Progress written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Military research categories.




Distributed Computer Systems


Distributed Computer Systems
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Author : H. S. M. Zedan
language : en
Publisher: Butterworth-Heinemann
Release Date : 2014-05-12

Distributed Computer Systems written by H. S. M. Zedan and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-12 with Computers categories.


Distributed Computer Systems: Theory and Practice is a collection of papers dealing with the design and implementation of operating systems, including distributed systems, such as the amoeba system, argus, Andrew, and grapevine. One paper discusses the concepts and notations for concurrent programming, particularly language notation used in computer programming, synchronization methods, and also compares three classes of languages. Another paper explains load balancing or load redistribution to improve system performance, namely, static balancing and adaptive load balancing. For program efficiency, the user can choose from various debugging approaches to locate or fix errors without significantly disturbing the program behavior. Examples of debuggers pertain to the ada language and the occam programming language. Another paper describes the architecture of a real-time distributed database system used for computer network management, monitoring integration, as well as administration and control of both local area or wide area communications networks. The book can prove helpful to programmers, computer engineers, computer technicians, and computer instructors dealing with many aspects of computers, such as programming, hardware interface, networking, engineering or design.