Analog VLSI Parallel-processing Arrays
Author: Chu Phoon Chong
Publisher:
Published: 1992
Total Pages:
ISBN-13:
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Parallel Processing on VLSI Arrays
Author: Josef A. Nossek
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 136
ISBN-13: 1461540364
DOWNLOAD EBOOKGuest Editor: JOSEF A. NOSSEK This is a special issue of the Journal of VLSI Signal Processing comprising eight contributions invited for publica tion on the basis of novel work presented in a special session on "Parallel Processing on VLSI Arrays" at the International Symposium on Circuits and Systems (ISCAS) held in New Orleans in May 1990. Massive parallelism to cope with high-speed requirements stemming from real-time applications and the restrictions in architectural and circuit design, such as regularity and local connectedness, brought about by the VLSI technology are the key questions addressed in these eight papers. They can be grouped into three subsections elaborating on: • Simulation of continuous physical systems, i. e. , numerically solving partial differential equations. • Neural architectures for image processing and pattern recognition. • Systolic architectures for implementing regular and irregular algorithms in VLSI technology. The paper by A. Fettweis and O. Nitsche advocates a signal processing approach for the numerical integration of partial differential equations (PD Es). It is based on the principles of multidimensional wave digital filters (MDWDFs) thereby preserving the passivity of energy dissipating physical systems. It is particularly suited for systems ofPDEs involving time and finite propagation speed. The basic ideas are explained using Maxwell's equa tions as a vehicle for the derivation of a multidimensional equivalent circuit representing the spatially infinitely extended arrangement with only very few circuit elements.
Analog VLSI Integration of Massive Parallel Signal Processing Systems
Author: Peter Kinget
Publisher: Springer Science & Business Media
Published: 2013-06-29
Total Pages: 235
ISBN-13: 1475725809
DOWNLOAD EBOOKWhen comparing conventional computing architectures to the architectures of biological neural systems, we find several striking differences. Conventional computers use a low number of high performance computing elements that are programmed with algorithms to perform tasks in a time sequenced way; they are very successful in administrative applications, in scientific simulations, and in certain signal processing applications. However, the biological systems still significantly outperform conventional computers in perception tasks, sensory data processing and motory control. Biological systems use a completely dif ferent computing paradigm: a massive network of simple processors that are (adaptively) interconnected and operate in parallel. Exactly this massively parallel processing seems the key aspect to their success. On the other hand the development of VLSI technologies provide us with technological means to implement very complicated systems on a silicon die. Especially analog VLSI circuits in standard digital technologies open the way for the implement at ion of massively parallel analog signal processing systems for sensory signal processing applications and for perception tasks. In chapter 1 the motivations behind the emergence of the analog VLSI of massively parallel systems is discussed in detail together with the capabilities and !imitations of VLSI technologies and the required research and developments. Analog parallel signal processing drives for the development of very com pact, high speed and low power circuits. An important technologicallimitation in the reduction of the size of circuits and the improvement of the speed and power consumption performance is the device inaccuracies or device mismatch.
Vlsi And Parallel Computing For Pattern Recognition And Artificial Intelligence
Author: N Ranganathan
Publisher: World Scientific
Published: 1995-06-30
Total Pages: 298
ISBN-13: 9814500232
DOWNLOAD EBOOKThis book covers parallel algorithms and architectures and VLSI chips for a range of problems in image processing, computer vision, pattern recognition and artificial intelligence. The specific problems addressed include vision and image processing tasks, Fast Fourier Transforms, Hough Transforms, Discrete Cosine Transforms, image compression, polygon matching, template matching, pattern matching, fuzzy expert systems and image rotation. The collection of papers gives the reader a good introduction to the state-of-the-art, while for an expert this serves as a good reference and a source of some new contributions in this field.
Cellular Neural Networks and Analog VLSI
Author: Leon Chua
Publisher: Springer Science & Business Media
Published: 2013-03-09
Total Pages: 105
ISBN-13: 1475747306
DOWNLOAD EBOOKCellular Neural Networks and Analog VLSI brings together in one place important contributions and up-to-date research results in this fast moving area. Cellular Neural Networks and Analog VLSI serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
Parallel Processing in Cellular Arrays
Author: Y. I. Fet
Publisher: *Research Studies Press
Published: 1995-06-20
Total Pages: 220
ISBN-13:
DOWNLOAD EBOOKAgainst an overview of the subject and a rigorous theoretical background, this book presents the author's approach to the organisation and implementation of massively parallel processing. Cellular arrays of a particular kind, called Distributed Functional structures (DF-structures), are introduced and described. DF-structures are related to content-addressed memories but are able to provide immediate realisation organ extensive nest of data-processing functions. They are specialised but economical, and they correspond well with the nature of the latest VLSI technology. This book discusses in detail the design and analysis of DF-structures. Numerous examples are given of how they can be applied to important numerical problems, non-numerical data processing and switching of data arrays. The author postulate that DF-structures could well constitute the basis of a new type of VLSI chip - the cellular microprocessor. In the final chapter the author's 'combined architecture' is compared with the newest conception of 'heterogeneous computing'.
Field-Programmable Analog Arrays
Author: Edmund Pierzchala
Publisher: Springer Science & Business Media
Published: 2013-06-29
Total Pages: 166
ISBN-13: 1475752245
DOWNLOAD EBOOKField-Programmable Analog Arrays brings together in one place important contributions and up-to-date research results in this fast moving area. Field-Programmable Analog Arrays serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
Parallel Computation on Regular Arrays
Author: Maurice Tchuente
Publisher: Manchester University Press
Published: 1991
Total Pages: 336
ISBN-13: 9780719027086
DOWNLOAD EBOOKLectures in Parallel Computation
Author: Alan Gibbons
Publisher: Cambridge University Press
Published: 1993-03-18
Total Pages: 452
ISBN-13: 9780521415569
DOWNLOAD EBOOKThe foundations of parallel computation, especially the efficiency of computation, are the concern of this book. Distinguished international researchers have contributed fifteen chapters which together form a coherent stream taking the reader who has little prior knowledge of the field to a position of being familiar with leading edge issues. The book may also function as a source of teaching material and reference for researchers. The first part is devoted to the Parallel Random Access Machine (P-RAM) model of parallel computation. The initial chapters justify and define the model, which is then used for the development of algorithm design in a variety of application areas such as deterministic algorithms, randomisation and algorithm resilience. The second part deals with distributed memory models of computation. The question of efficiently implementing P-RAM algorithms within these models is addressed as are the immensely interesting prospects for general purpose parallel computation.
Analog VLSI Implementation of Neural Systems
Author: Carver Mead
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 250
ISBN-13: 1461316391
DOWNLOAD EBOOKThis volume contains the proceedings of a workshop on Analog Integrated Neural Systems held May 8, 1989, in connection with the International Symposium on Circuits and Systems. The presentations were chosen to encompass the entire range of topics currently under study in this exciting new discipline. Stringent acceptance requirements were placed on contributions: (1) each description was required to include detailed characterization of a working chip, and (2) each design was not to have been published previously. In several cases, the status of the project was not known until a few weeks before the meeting date. As a result, some of the most recent innovative work in the field was presented. Because this discipline is evolving rapidly, each project is very much a work in progress. Authors were asked to devote considerable attention to the shortcomings of their designs, as well as to the notable successes they achieved. In this way, other workers can now avoid stumbling into the same traps, and evolution can proceed more rapidly (and less painfully). The chapters in this volume are presented in the same order as the corresponding presentations at the workshop. The first two chapters are concerned with fmding solutions to complex optimization problems under a predefmed set of constraints. The first chapter reports what is, to the best of our knowledge, the first neural-chip design. In each case, the physics of the underlying electronic medium is used to represent a cost function in a natural way, using only nearest-neighbor connectivity.
