Parallel Programming Techniques And Applications
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Parallel Programming Techniques And Applications Using Networked Workstations And Parallel Computers 2 E
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Author : Philip Wilkinson
language : en
Publisher: Pearson Education India
Release Date : 2006-09
Parallel Programming Techniques And Applications Using Networked Workstations And Parallel Computers 2 E written by Philip Wilkinson and has been published by Pearson Education India this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09 with categories.
Parallel Programming Techniques And Applications
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Author : Barry Wilkinson
language : en
Publisher:
Release Date : 2006-02-01
Parallel Programming Techniques And Applications written by Barry Wilkinson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-01 with Parallel programming (Computer science) categories.
Parallel Programming
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Author : Barry Wilkinson
language : en
Publisher:
Release Date : 2004
Parallel Programming written by Barry Wilkinson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.
Parallel Programming
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Author : Thomas Rauber
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-13
Parallel Programming written by Thomas Rauber 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 2013-06-13 with Computers categories.
Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. For this second edition, all chapters have been carefully revised. The chapter on architecture of parallel systems has been updated considerably, with a greater emphasis on the architecture of multicore systems and adding new material on the latest developments in computer architecture. Lastly, a completely new chapter on general-purpose GPUs and the corresponding programming techniques has been added. The main goal of the book is to present parallel programming techniques that can be used in many situations for a broad range of application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The material presented has been used for courses in parallel programming at different universities for manyyears.
Parallel Programming
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Author : Barry Wilkinson
language : en
Publisher:
Release Date : 1999
Parallel Programming written by Barry Wilkinson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Parallel processing (Electronic computers) categories.
This work contains classroom-tested materials geared specifically for undergraduates, offering a grounding of techniques and applications. The text introduces parallel programming techniques as a natural extension to sequential programming, and requires only C programming knowledge.
Models For Parallel And Distributed Computation
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Author : R. Correa
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Models For Parallel And Distributed Computation written by R. Correa 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 2013-06-29 with Computers categories.
Parallel and distributed computation has been gaining a great lot of attention in the last decades. During this period, the advances attained in computing and communication technologies, and the reduction in the costs of those technolo gies, played a central role in the rapid growth of the interest in the use of parallel and distributed computation in a number of areas of engineering and sciences. Many actual applications have been successfully implemented in various plat forms varying from pure shared-memory to totally distributed models, passing through hybrid approaches such as distributed-shared memory architectures. Parallel and distributed computation differs from dassical sequential compu tation in some of the following major aspects: the number of processing units, independent local dock for each unit, the number of memory units, and the programming model. For representing this diversity, and depending on what level we are looking at the problem, researchers have proposed some models to abstract the main characteristics or parameters (physical components or logical mechanisms) of parallel computers. The problem of establishing a suitable model is to find a reasonable trade-off among simplicity, power of expression and universality. Then, be able to study and analyze more precisely the behavior of parallel applications.
Parallel Programming
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Author : Thomas Rauber
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-16
Parallel Programming written by Thomas Rauber 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 2010-03-16 with Computers categories.
Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years.
Fgcs 92
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Author :
language : en
Publisher: IOS Press
Release Date : 1992
Fgcs 92 written by and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computer architecture categories.
Parallel And High Performance Programming With Python Unlock Parallel And Concurrent Programming In Python Using Multithreading Cuda Pytorch And Dask
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Author : Fabio Nelli
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2023-04-12
Parallel And High Performance Programming With Python Unlock Parallel And Concurrent Programming In Python Using Multithreading Cuda Pytorch And Dask written by Fabio Nelli and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-12 with Computers categories.
Unleash the capabilities of Python and its libraries for solving high performance computational problems. Key Features ● Explores parallel programming concepts and techniques for high-performance computing. ● Covers parallel algorithms, multiprocessing, distributed computing, and GPU programming. ● Provides practical use of popular Python libraries/tools like NumPy, Pandas, Dask, and TensorFlow. Book Description This book will teach you everything about the powerful techniques and applications of parallel computing, from the basics of parallel programming to the cutting-edge innovations shaping the future of computing. The book starts with an introduction to parallel programming and the different types of parallelism, including parallel programming with threads and processes. The book then delves into asynchronous programming, distributed Python, and GPU programming with Python, providing you with the tools you need to optimize your programs for distributed and high-performance computing. The book also covers a wide range of applications for parallel computing, including data science, artificial intelligence, and other complex scientific simulations. You will learn about the challenges and opportunities presented by parallel computing for these applications and how to overcome them. By the end of the book, you will have insights into the future of parallel computing, the latest research and developments in the field, and explore the exciting possibilities that lie ahead. What you will learn ● Build faster, smarter, and more efficient applications for data analysis, machine learning, and scientific computing ● Implement parallel algorithms in Python ● Best practices for designing, implementing, and scaling parallel programs in Python Who is this book for? This book is aimed at software developers who wish to take their careers to the next level by improving their skills and learning about concurrent and parallel programming. It is also intended for Python developers who aspire to write fast and efficient programs, and for students who wish to learn the fundamentals of parallel computing and its practical uses. Table of Contents 1. Introduction to Parallel Programming 2. Building Multithreaded Programs 3. Working with Multiprocessing and mpi4py Library 4. Asynchronous Programming with AsyncIO 5. Realizing Parallelism with Distributed Systems 6. Maximizing Performance with GPU Programming using CUDA 7. Embracing the Parallel Computing Revolution 8. Scaling Your Data Science Applications with Dask 9. Exploring the Potential of AI with Parallel Computing 10. Hands-on Applications of Parallel Computing
Parallel Computing Technologies
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Author :
language : en
Publisher:
Release Date : 1999
Parallel Computing Technologies written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Parallel processing (Electronic computers) categories.