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Parallel programming

  • 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...

  • Automatic Parallelization for a Class of Regular Computationsby G.M. Megson; X. Chen

    World Scientific Publishing Company 1997; US$ 107.00

    The automatic generation of parallel code from high level sequential description is of key importance to the wide spread use of high performance machine architectures. This text considers (in detail) the theory and practical realization of automatic mapping of algorithms generated from systems of uniform recurrence equations (do-lccps) onto fixed size... 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...

  • 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...

  • 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...

  • Frameworks fr das IT Managementby Jan van Bon Various; Tieneke Verheijen

    Van Haren Publishing 2007; US$ 55.00

    Moderne IT-Manager sehen sich einer ?¼berw?¤ltigenden Anzahl von Management-Frameworks, -Methoden und ?Methodiken gegen?¼ber ? was einen kaum den Wald vor lauter B?¤umen sehen l?¤sst. Dar?¼ber hinaus glauben viele Anbieter von IT-Services, dass sie nicht ernst genommen werden, wenn sie nicht ebenfalls ein propriet?¤res Framework zur Verf?¼gung... more...

  • Functions, Objects and Parallelismby Yuen Chung Kwong

    World Scientific Publishing Company 1999; US$ 47.00

    Despite many years of research and development, parallel programming remains a difficult and specialized task. A simple but general model for parallel processing is still lacking.This book proposes a model that adds parallelism to functions and objects, allowing simple specification of both parallel execution and inter-process communication. Many examples... 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...

  • 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...