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Parallel programming

  • Parallel Algorithms for Knapsack Type Problemsby V.N. Aleksandrov; G.M. Megson

    World Scientific Publishing Company 1999; US$ 149.00

    This book brings together current research direction in the mapping of dynamic programming recurrence equations for Knapsack Type problems, which include Unbounded Knapsack Problem, 0/1 Knapsack Problem, Subset Sum Problem, Change Making Problem, onto so-called regular parallel architectures. In particular, it focuses on heuristic and more formal techniques... more...

  • The Art of Concurrencyby Clay Breshears

    O'Reilly Media 2009; US$ 35.99

    If you're looking to take full advantage of multi-core processors with concurrent programming, this practical book provides the knowledge and hands-on experience you need. The Art of Concurrency is one of the few resources to focus on implementing algorithms in the shared-memory model of multi-core processors, rather than just theoretical models... more...

  • Parallel Programming in OpenMPby Rohit Chandra; Ramesh Menon; Leo Dagum; David Kohr; Dror Maydan; Jeff McDonald

    Elsevier Science 2000; US$ 66.95

    The rapid and widespread acceptance of shared-memory multiprocessor architectures has created a pressing demand for an efficient way to program these systems. At the same time, developers of technical and scientific applications in industry and in government laboratories find they need to parallelize huge volumes of code in a portable fashion. OpenMP,... more...

  • Professional CUDA C Programmingby John Cheng; Max Grossman; Ty McKercher

    Wiley 2014; US$ 59.99

    Break into the powerful world of parallel GPU programming  with this down-to-earth, practical guide Designed for professionals across multiple industrial sectors, Professional CUDA C Programming   presents CUDA -- a parallel computing platform and programming model designed to ease the development of GPU programming -- fundamentals... more...

  • CUDA Programmingby Shane Cook

    Elsevier Science 2012; US$ 49.95

    If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts... 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...

  • 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...

  • Multicore-Softwareby Urs Gleim; Tobias Schüle

    dpunkt.verlag 2012; US$ 28.45

    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...

  • 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...