Multicore Application Programming
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Multicore Application Programming
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Author : Darryl Gove
language : en
Publisher: Addison-Wesley Professional
Release Date : 2011
Multicore Application Programming written by Darryl Gove and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.
Multicore Application Programming is a comprehensive, practical guide to high-performance multicore programming that any experienced developer can use.
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 many years.
Multicore And Gpu Programming
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Author : Gerassimos Barlas
language : en
Publisher: Elsevier
Release Date : 2014-12-16
Multicore And Gpu Programming written by Gerassimos Barlas and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-16 with Computers categories.
Multicore and GPU Programming offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore "massively parallel" computing. Using threads, OpenMP, MPI, and CUDA, it teaches the design and development of software capable of taking advantage of today's computing platforms incorporating CPU and GPU hardware and explains how to transition from sequential programming to a parallel computing paradigm. Presenting material refined over more than a decade of teaching parallel computing, author Gerassimos Barlas minimizes the challenge with multiple examples, extensive case studies, and full source code. Using this book, you can develop programs that run over distributed memory machines using MPI, create multi-threaded applications with either libraries or directives, write optimized applications that balance the workload between available computing resources, and profile and debug programs targeting multicore machines. - Comprehensive coverage of all major multicore programming tools, including threads, OpenMP, MPI, and CUDA - Demonstrates parallel programming design patterns and examples of how different tools and paradigms can be integrated for superior performance - Particular focus on the emerging area of divisible load theory and its impact on load balancing and distributed systems - Download source code, examples, and instructor support materials on the book's companion website
Shared Memory Application Programming
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Author : Victor Alessandrini
language : en
Publisher: Morgan Kaufmann
Release Date : 2015-11-06
Shared Memory Application Programming written by Victor Alessandrini and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-06 with Computers categories.
Shared Memory Application Programming presents the key concepts and applications of parallel programming, in an accessible and engaging style applicable to developers across many domains. Multithreaded programming is today a core technology, at the basis of all software development projects in any branch of applied computer science. This book guides readers to develop insights about threaded programming and introduces two popular platforms for multicore development: OpenMP and Intel Threading Building Blocks (TBB). Author Victor Alessandrini leverages his rich experience to explain each platform's design strategies, analyzing the focus and strengths underlying their often complementary capabilities, as well as their interoperability. The book is divided into two parts: the first develops the essential concepts of thread management and synchronization, discussing the way they are implemented in native multithreading libraries (Windows threads, Pthreads) as well as in the modern C++11 threads standard. The second provides an in-depth discussion of TBB and OpenMP including the latest features in OpenMP 4.0 extensions to ensure readers' skills are fully up to date. Focus progressively shifts from traditional thread parallelism to modern task parallelism deployed by modern programming environments. Several chapter include examples drawn from a variety of disciplines, including molecular dynamics and image processing, with full source code and a software library incorporating a number of utilities that readers can adapt into their own projects. - Designed to introduce threading and multicore programming to teach modern coding strategies for developers in applied computing - Leverages author Victor Alessandrini's rich experience to explain each platform's design strategies, analyzing the focus and strengths underlying their often complementary capabilities, as well as their interoperability - Includes complete, up-to-date discussions of OpenMP 4.0 and TBB - Based on the author's training sessions, including information on source code and software libraries which can be repurposed
Parallel Programming
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Author : Thomas Rauber
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-10
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 2010-03-10 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.
Multicore Application Programming
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Author : Darryl Gove
language : en
Publisher:
Release Date : 1900
Multicore Application Programming written by Darryl Gove and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1900 with categories.
Write High-Performance, Highly-Scalable Multicore Applications for Any Leading Hardware and OS Environment Programmers who know how to leverage today's multicore processors can achieve remarkable performance improvements, but multicore programming has traditionally been viewed as complex and difficult. Multicore Application Programming is the solution: a comprehensive, practical guide to high-performance multicore programming that any experienced developer can use. Author Darryl Gove covers all leading approaches to virtualization on multiple leading platforms, including Linux, Oracle S.
Multi Core Programming
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Author : Shameem Akhter
language : en
Publisher:
Release Date : 2006
Multi Core Programming written by Shameem Akhter and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Parallel programming (Computer science) categories.
Multi-core Programming deals with computers/software.
The Art Of Multiprocessor Programming Revised Reprint
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Author : Maurice Herlihy
language : en
Publisher: Elsevier
Release Date : 2012-05-22
The Art Of Multiprocessor Programming Revised Reprint written by Maurice Herlihy and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-22 with Computers categories.
Revised and updated with improvements conceived in parallel programming courses, The Art of Multiprocessor Programming is an authoritative guide to multicore programming. It introduces a higher level set of software development skills than that needed for efficient single-core programming. This book provides comprehensive coverage of the new principles, algorithms, and tools necessary for effective multiprocessor programming. Students and professionals alike will benefit from thorough coverage of key multiprocessor programming issues. This revised edition incorporates much-demanded updates throughout the book, based on feedback and corrections reported from classrooms since 2008 Learn the fundamentals of programming multiple threads accessing shared memory Explore mainstream concurrent data structures and the key elements of their design, as well as synchronization techniques from simple locks to transactional memory systems Visit the companion site and download source code, example Java programs, and materials to support and enhance the learning experience
Parallel And Concurrent Programming In Haskell
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Author : Simon Marlow
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-07-12
Parallel And Concurrent Programming In Haskell written by Simon Marlow and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-12 with Computers categories.
If you have a working knowledge of Haskell, this hands-on book shows you how to use the language’s many APIs and frameworks for writing both parallel and concurrent programs. You’ll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs with threads for multiple interactions. Author Simon Marlow walks you through the process with lots of code examples that you can run, experiment with, and extend. Divided into separate sections on Parallel and Concurrent Haskell, this book also includes exercises to help you become familiar with the concepts presented: Express parallelism in Haskell with the Eval monad and Evaluation Strategies Parallelize ordinary Haskell code with the Par monad Build parallel array-based computations, using the Repa library Use the Accelerate library to run computations directly on the GPU Work with basic interfaces for writing concurrent code Build trees of threads for larger and more complex programs Learn how to build high-speed concurrent network servers Write distributed programs that run on multiple machines in a network
Programming And Customizing The Multicore Propeller Microcontroller The Official Guide
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Author : Parallax
language : en
Publisher: McGraw Hill Professional
Release Date : 2010-02-05
Programming And Customizing The Multicore Propeller Microcontroller The Official Guide written by Parallax and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-05 with Technology & Engineering categories.
The Only Official Guide to the Parallax Multicore Propeller Microcontroller Written by a team of Propeller experts, this authoritative guide shows you how to realize your design concepts by taking full advantage of the multicore Propeller microcontroller's unique architecture. The book begins with a review of the Propeller hardware, software, and Spin language so you can get started right away. Programming and Customizing the Multicore Propeller Microcontroller: The Official Guide is filled with a wide variety of step-by-step, hands-on projects. Put your ideas into production when you learn how to: Debug code for multiple cores Understand how the Propeller interacts with different sensors Wirelessly network Propeller chips Build a balancing robot and control it with computer vision Develop networking applications using an off-the-shelf Ethernet chip Create a portable multivariable GPS tracking and data logging device Use the Propeller as a remote virtual peripheral for media applications Create a Propeller-powered HVAC green house model Synthesize speech with the Propeller Experience more of the process at mhprofessional.com/propeller