Multicore Computing PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Multicore Computing PDF full book. Access full book title Multicore Computing.
Author | : Victor Pankratius |
Publisher | : CRC Press |
Total Pages | : 322 |
Release | : 2011-12-12 |
Genre | : Computers |
ISBN | : 1439812748 |
Download Fundamentals of Multicore Software Development Book in PDF, ePub and Kindle
With multicore processors now in every computer, server, and embedded device, the need for cost-effective, reliable parallel software has never been greater. By explaining key aspects of multicore programming, Fundamentals of Multicore Software Development helps software engineers understand parallel programming and master the multicore challenge.
Author | : Stephen W. Keckler |
Publisher | : Springer Science & Business Media |
Total Pages | : 310 |
Release | : 2009-08-29 |
Genre | : Computers |
ISBN | : 1441902635 |
Download Multicore Processors and Systems Book in PDF, ePub and Kindle
Multicore Processors and Systems provides a comprehensive overview of emerging multicore processors and systems. It covers technology trends affecting multicores, multicore architecture innovations, multicore software innovations, and case studies of state-of-the-art commercial multicore systems. A cross-cutting theme of the book is the challenges associated with scaling up multicore systems to hundreds of cores. The book provides an overview of significant developments in the architectures for multicore processors and systems. It includes chapters on fundamental requirements for multicore systems, including processing, memory systems, and interconnect. It also includes several case studies on commercial multicore systems that have recently been developed and deployed across multiple application domains. The architecture chapters focus on innovative multicore execution models as well as infrastructure for multicores, including memory systems and on-chip interconnections. The case studies examine multicore implementations across different application domains, including general purpose, server, media/broadband, network processing, and signal processing. Multicore Processors and Systems is the first book that focuses solely on multicore processors and systems, and in particular on the unique technology implications, architectures, and implementations. The book has contributing authors that are from both the academic and industrial communities.
Author | : Jeremy Kepner |
Publisher | : SIAM |
Total Pages | : 264 |
Release | : 2009-07-23 |
Genre | : Computers |
ISBN | : 089871673X |
Download Parallel MATLAB for Multicore and Multinode Computers Book in PDF, ePub and Kindle
The first book on parallel MATLAB and the first parallel computing book focused on quickly producing efficient parallel programs.
Author | : Sanguthevar Rajasekaran |
Publisher | : CRC Press |
Total Pages | : 451 |
Release | : 2013-12-12 |
Genre | : Computers |
ISBN | : 1439854351 |
Download Multicore Computing Book in PDF, ePub and Kindle
Every area of science and engineering today has to process voluminous data sets. Using exact, or even approximate, algorithms to solve intractable problems in critical areas, such as computational biology, takes time that is exponential in some of the underlying parameters. Parallel computing addresses this issue and has become affordable with the
Author | : Jakub Kurzak |
Publisher | : CRC Press |
Total Pages | : 495 |
Release | : 2010-12-07 |
Genre | : Computers |
ISBN | : 1439825378 |
Download Scientific Computing with Multicore and Accelerators Book in PDF, ePub and Kindle
The hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types of components: multicore/manycore central processing units and special purpose hardware/massively parallel accelerators. While these technologies have numerous benefits, they also pose substantial perfo
Author | : Thomas Rauber |
Publisher | : Springer Science & Business Media |
Total Pages | : 463 |
Release | : 2010-03-10 |
Genre | : Computers |
ISBN | : 364204817X |
Download Parallel Programming Book in PDF, ePub and Kindle
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.
Author | : Thomas Rauber |
Publisher | : Springer Science & Business Media |
Total Pages | : 523 |
Release | : 2013-06-13 |
Genre | : Computers |
ISBN | : 3642378013 |
Download Parallel Programming Book in PDF, ePub and Kindle
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.
Author | : Gerassimos Barlas |
Publisher | : Elsevier |
Total Pages | : 698 |
Release | : 2014-12-16 |
Genre | : Computers |
ISBN | : 0124171400 |
Download Multicore and GPU Programming Book in PDF, ePub and Kindle
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
Author | : S., Mohan |
Publisher | : IGI Global |
Total Pages | : 292 |
Release | : 2016-08-23 |
Genre | : Computers |
ISBN | : 1522508902 |
Download Multi-Core Computer Vision and Image Processing for Intelligent Applications Book in PDF, ePub and Kindle
A multicore platform uses distributed or parallel computing in a single computer, and this can be used to assist image processing algorithms in reducing computational complexities. By implementing this novel approach, the performance of imaging, video, and vision algorithms would improve, leading the way for cost-effective devices like intelligent surveillance cameras. Multi-Core Computer Vision and Image Processing for Intelligent Applications is an essential publication outlining the future research opportunities and emerging technologies in the field of image processing, and the ways multi-core processing can further the field. This publication is ideal for policy makers, researchers, technology developers, and students of IT.
Author | : Barbara Chapman |
Publisher | : IOS Press |
Total Pages | : 760 |
Release | : 2010 |
Genre | : Computers |
ISBN | : 1607505290 |
Download Parallel Computing Book in PDF, ePub and Kindle
From Multicores and GPUs to Petascale. Parallel computing technologies have brought dramatic changes to mainstream computing the majority of todays PCs, laptops and even notebooks incorporate multiprocessor chips with up to four processors. Standard components are increasingly combined with GPUs Graphics Processing Unit, originally designed for high-speed graphics processing, and FPGAs Free Programmable Gate Array to build parallel computers with a wide spectrum of high-speed processing functions. The scale of this powerful hardware is limited only by factors such as energy consumption and thermal control. However, in addition to"