Brain Like And Massively Parallel Computers
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Author |
: Branko Soucek |
Publisher |
: Wiley-Interscience |
Total Pages |
: 488 |
Release |
: 1988-06-23 |
ISBN-10 |
: UOM:39015012768910 |
ISBN-13 |
: |
Rating |
: 4/5 (10 Downloads) |
Synopsis Brain-Like and Massively-Parallel Computers by : Branko Soucek
This book is designed to serve as a textbook/reference in psychological/intelligent/neural/knowledge engineering and its related technologies.
Author |
: David B. Kirk |
Publisher |
: Newnes |
Total Pages |
: 519 |
Release |
: 2012-12-31 |
ISBN-10 |
: 9780123914187 |
ISBN-13 |
: 0123914183 |
Rating |
: 4/5 (87 Downloads) |
Synopsis Programming Massively Parallel Processors by : David B. Kirk
Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. - New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more - Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism - Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing
Author |
: David B. Kirk |
Publisher |
: Morgan Kaufmann |
Total Pages |
: 574 |
Release |
: 2016-11-24 |
ISBN-10 |
: 9780128119877 |
ISBN-13 |
: 012811987X |
Rating |
: 4/5 (77 Downloads) |
Synopsis Programming Massively Parallel Processors by : David B. Kirk
Programming Massively Parallel Processors: A Hands-on Approach, Third Edition shows both student and professional alike the basic concepts of parallel programming and GPU architecture, exploring, in detail, various techniques for constructing parallel programs. Case studies demonstrate the development process, detailing computational thinking and ending with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in-depth. For this new edition, the authors have updated their coverage of CUDA, including coverage of newer libraries, such as CuDNN, moved content that has become less important to appendices, added two new chapters on parallel patterns, and updated case studies to reflect current industry practices. - Teaches computational thinking and problem-solving techniques that facilitate high-performance parallel computing - Utilizes CUDA version 7.5, NVIDIA's software development tool created specifically for massively parallel environments - Contains new and updated case studies - Includes coverage of newer libraries, such as CuDNN for Deep Learning
Author |
: James Cameron Patterson |
Publisher |
: |
Total Pages |
: |
Release |
: 2012 |
ISBN-10 |
: OCLC:820777403 |
ISBN-13 |
: |
Rating |
: 4/5 (03 Downloads) |
Synopsis Managing a Real-time Massively-parallel Neural Architecture by : James Cameron Patterson
A human brain has billions of processing elements operating simultaneously; the only practical way to model this computationally is with a massively-parallel computer. A computer on such a significant scale requires hundreds of thousands of interconnected processing elements, a complex environment which requires many levels of monitoring, management and control. Management begins from the moment power is applied and continues whilst the application software loads, executes, and the results are downloaded. This is the story of the research and development of a framework of scalable management tools that support SpiNNaker, a novel computing architecture designed to model spiking neural networks of biologically-significant sizes. This management framework provides solutions from the most fundamental set of power-on self-tests, through to complex, real-time monitoring of the health of the hardware and the software during simulation. The framework devised uses standard tools where appropriate, covering hardware up / down events and capacity information, through to bespoke software developed to provide real-time insight to neural network software operation across multiple levels of abstraction. With this layered management approach, users (or automated agents) have access to results dynamically and are able to make informed decisions on required actions in real-time.
Author |
: Gilbert Kalb |
Publisher |
: |
Total Pages |
: 224 |
Release |
: 1992 |
ISBN-10 |
: UOM:39015029277707 |
ISBN-13 |
: |
Rating |
: 4/5 (07 Downloads) |
Synopsis Massively Parallel, Optical, and Neural Computing in the United States by : Gilbert Kalb
A survey of products and research projects in the field of highly parallel, optical and neural computers in the USA. It covers operating systems, language projects and market analysis, as well as optical computing devices and optical connections of electronic parts.
Author |
: S.R. Hameroff |
Publisher |
: Elsevier |
Total Pages |
: 380 |
Release |
: 2014-04-11 |
ISBN-10 |
: 9780444600097 |
ISBN-13 |
: 0444600094 |
Rating |
: 4/5 (97 Downloads) |
Synopsis Ultimate Computing by : S.R. Hameroff
The possibility of direct interfacing between biological and technological information devices could result in a merger of mind and machine - Ultimate Computing. This book, a thorough consideration of this idea, involves a number of disciplines, including biochemistry, cognitive science, computer science, engineering, mathematics, microbiology, molecular biology, pharmacology, philosophy, physics, physiology, and psychology.
Author |
: David E. Rumelhart |
Publisher |
: National Geographic Books |
Total Pages |
: 0 |
Release |
: 1987-07-29 |
ISBN-10 |
: 9780262680530 |
ISBN-13 |
: 026268053X |
Rating |
: 4/5 (30 Downloads) |
Synopsis Parallel Distributed Processing, Volume 1 by : David E. Rumelhart
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.
Author |
: Janusz Kowalik |
Publisher |
: IOS Press |
Total Pages |
: 312 |
Release |
: 2012 |
ISBN-10 |
: 9781614990291 |
ISBN-13 |
: 1614990298 |
Rating |
: 4/5 (91 Downloads) |
Synopsis Using OpenCL by : Janusz Kowalik
Author |
: |
Publisher |
: |
Total Pages |
: 1544 |
Release |
: 1994-08 |
ISBN-10 |
: 0262510782 |
ISBN-13 |
: 9780262510783 |
Rating |
: 4/5 (82 Downloads) |
Synopsis AAAI-94 by :
AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.
Author |
: Christian Holscher |
Publisher |
: Cambridge University Press |
Total Pages |
: 472 |
Release |
: 2012-10-25 |
ISBN-10 |
: 9781139474252 |
ISBN-13 |
: 1139474251 |
Rating |
: 4/5 (52 Downloads) |
Synopsis Information Processing by Neuronal Populations by : Christian Holscher
Bringing together a multitude of data from different backgrounds, this book answers many questions including how networks are formed and separated and associated with other networks. It strives to cover the range of single cell activity analysis to observation of network activity and to brain area activity and cognitive processes.