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Parallel programming

Most popular at the top

  • Multicore-Softwareby Urs Gleim; Tobias Schüle

    dpunkt.verlag 2012; US$ 34.01

    Nur parallel arbeitende Software kann die Leistung heutiger Multicore-Prozessoren ausnutzen. Das Buch vermittelt ein solides Grundwissen über Softwareentwicklung im Multicore-Zeitalter und dient als Nachschlagewerk für die tägliche Arbeit. Der erste Teil führt gut lesbar durch alle praxisrelevanten Grundlagen der Programmierung und der Architektur... more...

  • Creating Componentsby Charles W. Kann

    Taylor and Francis 2003; US$ 104.95

    Concurrency is a powerful technique for developing efficient and lightning- fast software. For instance, concurrency can be used in common applications such as online order processing to speed processing and ensure transaction reliability. However, mastering concurrency is one of the greatest challenges for both new and veteran programmers. Software... more...

  • UPCby Tarek El-Ghazawi; William Carlson; Thomas Sterling; Katherine Yelick

    Wiley 2005; US$ 145.00

    This is the first book to explain the language Unified Parallel C and its use. Authors El-Ghazawi, Carlson, and Sterling are among the developers of UPC, with close links with the industrial members of the UPC consortium. Their text covers background material on parallel architectures and algorithms, and includes UPC programming case studies. This... more...

  • Parallel Computing Using the Prefix Problemby S. Lakshmivarahan; Sudarshan K. Dhall

    Oxford University Press 1994; US$ 254.99

    This is an introduction to those aspects of parallel programming and parallel algorithms that relate to a single topic: the prefix problem. This approach provides intense development of a single computational tool used in many parallel computations, showing and discussing its techniques. The text may be used for graduate courses. more...

  • Professional Multicore Programmingby Cameron Hughes; Tracey Hughes

    Wiley 2011; US$ 59.99

    Professional Multicore Programming: Design and Implementation for C++ Developers presents the basics of multicore programming in a simple, easy-to-understand manner so that you can easily apply the concepts to your everyday projects. Learn the fundamentals of programming for multiprocessor and multithreaded architecture, progress to multi-core programming... more...

  • Pro .NET 4 Parallel Programming in C#by Adam Freeman

    Springer 2010; US$ 45.49

    Parallel programming has been revolutionised in .NET 4 providing, for the first time, a standardised and simplified method for creating robust, scalable and reliable multi-threaded applications. The Parallel Programming features of .NET 4 allow the programmer to create applications that harness the power of multi-core and multi-processor machines.... more...

  • Fundamentals of Multicore Software Developmentby Victor Pankratius; Ali-Reza Adl-Tabatabai; Walter Tichy

    Taylor and Francis 2012; US$ 98.95

    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.... more...

  • Concurrent Programmingby Michel Raynal

    Springer 2012; US$ 79.95

    The advent of new architectures and computing platforms mean that synchronization and concurrent computing are among the most important topics in computing science. Concurrent programs are made up of cooperating entities -- processors, processes, agents, peers, sensors -- and synchronization is the set of concepts, rules and mechanisms that allow them... more...

  • Heterogeneous Computing with OpenCLby Benedict Gaster; Lee Howes; David R. Kaeli; Perhaad Mistry; Dana Schaa

    Elsevier Science 2012; US$ 69.95

    Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. Designed to work on multiple platforms and with wide industry support, OpenCL will help... more...

  • High Performance Deformable Image Registration Algorithms for Manycore Processorsby James Shackleford; Nagarajan Kandasamy; Gregory Sharp

    Elsevier Science 2013; US$ 59.95

    High Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, including graphics processing units (GPUs). Focusing on deformable registration, we show how to develop data-parallel versions of the registration algorithm... more...