When 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.
Erscheinungsdatum: 30.11.1996

Analog Vlsi Integration Of Massive Parallel Processing Systems (the Springer International Series In Engineering And Computer Science)

Kinget, Peter; Steyaert, Michiel, 1959-

Boston: Kluwer Academic Publishers

Kluwer international series in engineering and computer science, Boston [u.a, 1997

United States, United States of America

1 edition, November 30, 1996

Boston, Massachusetts, 1997

SECS, Boston, Mass, ©1997

1997, 1996

some text are cut due to tight margin
Obscured text on front cover due to sticker attached.

Includes bibliographical references (p. 211-222) and index.

<p><p>when Comparing Conventional Computing Architectures To The Architectures Of Biological Neural Systems, There Are 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 Different Computing Paradigm&#58; A Massive Network Of Simple Processors That Are (adaptively) Interconnected And Operate In Parallel. This Massively Parallel Processing Seems The Key Aspect To Their Success. The Advent Of Vlsi Technologies Has Provided Us With The Technological Means To Implement Very Complicated Systems On A Silicon Die. Analog Vlsi Circuits In Standard Digital Technologies Open The Way For The Implementation Of Massively Parallel Analog Signal Processing Systems For Sensory Signal Processing Applications And For Perception Tasks. <br> Analog Vlsi Integration Of Massive Parallel Processing Systems Describes In Depth The Theory And Practice Of Designing These Massively Parallel Analog Signal Processing Systems. Techniques Are Described Which Overcome The Device And Transistor Mismatches Which Limit Performance Of The System. The Book Also Shows How Such A System Can Be Efficiently Implemented Using Cellular Neural Networks. <br> Analog Vlsi Integration Of Massive Parallel Processing Systems Is Essential Reading For Practicing Analog Design Engineers And Researchers In The Field. It Is Also Suitable As A Text For An Advanced Course On The Subject.</p> <h3>booknews</h3> <p>describes The Theory And Practice Of Designing Systems On A Silicon Die That Mimic Biological Systems With A Massive Network Of Simple Processors That Are Adaptively Interconnected And Operate In Parallel, Thus Increasing Their Potential For The Sensory Signal Processing And Perception Tasks That Conventional Digital Computers Are Not Very Good At. Covers Analog Parallel Signal Processing, Implications Of Mismatch On Analog Vsli, And Implementation Oriented Theory And Vlsi Implementation Of Cellular Neural Networks. Annotation C. By Book News, Inc., Portland, Or.</p>

xiii, 228 p. : 25 cm
Includes bibliographical references (p. 211-222) and index

2023-06-28