Parallel Image Processing
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Parallel Image Processing
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Author : T. Bräunl
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Parallel Image Processing written by T. Bräunl and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Computers categories.
This book developed out of a series of publications in the area of image processing with massively parallel algorithms. The topic of image processing is a particularly promising area for the use of synchronous massively parallel or data-parallel compu ter systems which work according to the SIMD principle (single instruction, multiple data). While the era of large SIMD super-computers has passed, SIMD systems have come back as dedicated vision subsystems and will soon be found even in embedded systems. In comparison to conventional sequential implementations of basic image opera tions, this book illustrates the intrinsic parallelism which is almost always present in image processing. By utilising parallel algorithms it is even possible to illustrate oper ations in a simpler and easier to understand way than for the sequential case. The presentation method chosen for this book assumes that short, terse excerpts of program code will significantly enhance the understanding of the material, e.g. of image operations, while longer listings are more likely to distract from the topic. For this reason, each chapter will not only define and explain the central image processing algorithms with the help of examples, but will also give an excerpt of a massively par allel program. For image processing this means that at least virtually there should be one processor available for each pixel. The mapping onto a smaller number of exist by compiler, and as of ing real processors is done transparently the such is not interest here.
Parallel Image Processing
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Author : M Nivat
language : en
Publisher: World Scientific
Release Date : 1992-10-29
Parallel Image Processing written by M Nivat and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-10-29 with Computers categories.
Contents:Three-Dimensional Object Pattern Representation by Array Grammars (P S P Wang)Stochastic Puzzle Grammars (R Siromoney et al.)Parallel Recognition of High Dimensional Images (M Nivat & A Saoudi)Two-Dimensional Uniquely Parsable Isometric Array Grammars (Y Yamamoto & K Morita)Replicated Image Algorithms and Their Analyses on SIMD Machines (P J Narayanan & L S Davis)The Depth and Motion Analysis Machine (O D Faugeras et al.)Image Analysis on Massively Parallel Computers: An Architecture Point of View (A Mérigot & B Zavidovique)Parallel Algorithm for Colour Texture Generation Using the Random Neural Network Model (V Atalay & E Gelenbe)and other papers Readership: Computer scientists. keywords:
Image Processing And Pattern Recognition Based On Parallel Shift Technology
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Author : Stepan Bilan
language : en
Publisher: CRC Press
Release Date : 2018-01-29
Image Processing And Pattern Recognition Based On Parallel Shift Technology written by Stepan Bilan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-29 with Computers categories.
This book describes the methods and algorithms for image pre-processing and recognition. These methods are based on a parallel shift technology of the imaging copy, as well as simple mathematical operations to allow the generation of a minimum set of features to describe and recognize the image. This book also describes the theoretical foundations of parallel shift technology and pattern recognition. Based on these methods and theories, this book is intended to help researchers with artificial intelligence systems design, robotics, and developing software and hardware applications.
Parallel Image Analysis And Processing
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Author : Katsushi Inoue
language : en
Publisher: World Scientific
Release Date : 1994
Parallel Image Analysis And Processing written by Katsushi Inoue and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
This review volume contains a selection of papers by leading experts in the areas of Parallel Image Analysis, 2-D, 3-D Grammars and Automata and Neural Nets and Learning.
Parallel Image Analysis Theory And Applications
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Author : L S Davis
language : en
Publisher: World Scientific
Release Date : 1995-12-26
Parallel Image Analysis Theory And Applications written by L S Davis and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-12-26 with Computers categories.
This volume deals with the following topics: 2-D, 3-D automata and grammars, parallel architecture for image processing, parallel digital geometry algorithms, data allocation strategies for parallel image processing algorithms, complexity analysis of parallel image operators. The contributions are written by leading experts in the fields of models, algorithms and architectures for parallel image processing.
Parallel Image Analysis
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Author : L. S. Davis
language : en
Publisher: World Scientific
Release Date : 1996
Parallel Image Analysis written by L. S. Davis and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Technology & Engineering categories.
This volume deals with the following topics: 2-D, 3-D automata and grammars, parallel architecture for image processing, parallel digital geometry algorithms, data allocation strategies for parallel image processing algorithms, complexity analysis of parallel image operators. The contributions are written by leading experts in the fields of models, algorithms and architectures for parallel image processing.
Parallel Processing For Scientific Computing
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Author : Michael A. Heroux
language : en
Publisher: SIAM
Release Date : 2006-01-01
Parallel Processing For Scientific Computing written by Michael A. Heroux and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-01 with Computers categories.
Scientific computing has often been called the third approach to scientific discovery, emerging as a peer to experimentation and theory. Historically, the synergy between experimentation and theory has been well understood: experiments give insight into possible theories, theories inspire experiments, experiments reinforce or invalidate theories, and so on. As scientific computing has evolved to produce results that meet or exceed the quality of experimental and theoretical results, it has become indispensable.Parallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them. Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering. This edited volume serves as an up-to-date reference for researchers and application developers on the state of the art in scientific computing. It also serves as an excellent overview and introduction, especially for graduate and senior-level undergraduate students interested in computational modeling and simulation and related computer science and applied mathematics aspects.Contents List of Figures; List of Tables; Preface; Chapter 1: Frontiers of Scientific Computing: An Overview; Part I: Performance Modeling, Analysis and Optimization. Chapter 2: Performance Analysis: From Art to Science; Chapter 3: Approaches to Architecture-Aware Parallel Scientific Computation; Chapter 4: Achieving High Performance on the BlueGene/L Supercomputer; Chapter 5: Performance Evaluation and Modeling of Ultra-Scale Systems; Part II: Parallel Algorithms and Enabling Technologies. Chapter 6: Partitioning and Load Balancing; Chapter 7: Combinatorial Parallel and Scientific Computing; Chapter 8: Parallel Adaptive Mesh Refinement; Chapter 9: Parallel Sparse Solvers, Preconditioners, and Their Applications; Chapter 10: A Survey of Parallelization Techniques for Multigrid Solvers; Chapter 11: Fault Tolerance in Large-Scale Scientific Computing; Part III: Tools and Frameworks for Parallel Applications. Chapter 12: Parallel Tools and Environments: A Survey; Chapter 13: Parallel Linear Algebra Software; Chapter 14: High-Performance Component Software Systems; Chapter 15: Integrating Component-Based Scientific Computing Software; Part IV: Applications of Parallel Computing. Chapter 16: Parallel Algorithms for PDE-Constrained Optimization; Chapter 17: Massively Parallel Mixed-Integer Programming; Chapter 18: Parallel Methods and Software for Multicomponent Simulations; Chapter 19: Parallel Computational Biology; Chapter 20: Opportunities and Challenges for Parallel Computing in Science and Engineering; Index.
Morphological Image Processing Architecture And Vlsi Design
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Author : P.P. Jonker
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Morphological Image Processing Architecture And Vlsi Design written by P.P. Jonker and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
Summary Based on the experiences of past designs and the outcome of recent studies in the comparisons of low-level image processing architectures, a pipelined system for real time low-image processing has been designed and realized in CMOS technology. To minimize design pitfalls, a study was performed to the details of the design solutions that have been found in embodimentsof the three main architectural groups of image processing; the Square Processor Arrays, the Linear Processor Arrays and the Pipelines. This is reflected in a theoretical model. As the design is based on bitplane-wise processing of images, research was performed on the principles ofCellularLogic Processing of two dimensional images. of binary A methodology has been developed that is based on the transformation images using sets of Hit-or-Miss masks. This method appeared to be extendable to higher dimensional images. A theoretical model for the generation of break-point conditions in high dimensional images has been developed, and applied up to dimension three.
Parallel And High Performance Computing
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Author : Robert Robey
language : en
Publisher: Simon and Schuster
Release Date : 2021-08-24
Parallel And High Performance Computing written by Robert Robey and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-24 with Computers categories.
Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness. Summary Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours—or even days—of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware. About the technology Write fast, powerful, energy efficient programs that scale to tackle huge volumes of data. Using parallel programming, your code spreads data processing tasks across multiple CPUs for radically better performance. With a little help, you can create software that maximizes both speed and efficiency. About the book Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness. You’ll learn to evaluate hardware architectures and work with industry standard tools such as OpenMP and MPI. You’ll master the data structures and algorithms best suited for high performance computing and learn techniques that save energy on handheld devices. You’ll even run a massive tsunami simulation across a bank of GPUs. What's inside Planning a new parallel project Understanding differences in CPU and GPU architecture Addressing underperforming kernels and loops Managing applications with batch scheduling About the reader For experienced programmers proficient with a high-performance computing language like C, C++, or Fortran. About the author Robert Robey works at Los Alamos National Laboratory and has been active in the field of parallel computing for over 30 years. Yuliana Zamora is currently a PhD student and Siebel Scholar at the University of Chicago, and has lectured on programming modern hardware at numerous national conferences. Table of Contents PART 1 INTRODUCTION TO PARALLEL COMPUTING 1 Why parallel computing? 2 Planning for parallelization 3 Performance limits and profiling 4 Data design and performance models 5 Parallel algorithms and patterns PART 2 CPU: THE PARALLEL WORKHORSE 6 Vectorization: FLOPs for free 7 OpenMP that performs 8 MPI: The parallel backbone PART 3 GPUS: BUILT TO ACCELERATE 9 GPU architectures and concepts 10 GPU programming model 11 Directive-based GPU programming 12 GPU languages: Getting down to basics 13 GPU profiling and tools PART 4 HIGH PERFORMANCE COMPUTING ECOSYSTEMS 14 Affinity: Truce with the kernel 15 Batch schedulers: Bringing order to chaos 16 File operations for a parallel world 17 Tools and resources for better code
Multicomputers And Image Processing
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Author : Kendall Preston
language : en
Publisher: Elsevier
Release Date : 1982-01-01
Multicomputers And Image Processing written by Kendall Preston and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982-01-01 with Technology & Engineering categories.
Multicomputers and Image Processing: Algorithms and Programs is the second of a set presenting papers from the third meeting held in Madison, Wisconsin on May 27-30, 1981. The workshop explores the large and powerful multicomputer arrays and networks, with particular emphasis on the related aspects of developing algorithms and programs for multicomputer architectures. Separating 33 papers into chapters, this book reflects the three major aspects of the problem: user algorithms and programs; higher level languages; and multicomputer architectures. The first chapters present specific, larger structure, as well as whole program algorithms and their respective applications. Other chapters describe the important high-level programming of Fortran-based language for the massively parallel processors and the set-theory-based language for expressing the structural image processing and perceptual operations effected by Cytocomputer and other cellular-array-motivated architectures. The concluding chapters examine several major types of computer architectures that are being developed for large parallel-serial multicomputer systems. This book is of great value to computer programmers and scientists.