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Parallel programming

Most popular at the top

  • Using OpenCLby J. Kowalik; T. Puzniakowski

    IOS Press 2012; US$ 196.00

    In 2011 many computer users were exploring the opportunities and the benefits of the massive parallelism offered by heterogeneous computing. In 2000 the Khronos Group, a not-for-profit industry consortium, was founded to create standard open APIs for parallel computing, graphics and dynamic media. Among them has been OpenCL, an open system for programming... more...

  • Working with OpenERPby Greg Moss

    Packt Publishing 2013; US$ 29.99

    This book is a practical, hands-on guide that provides the reader with a number of real-world examples and step-by-step instructions."Working with OpenERP" is written to make it easy for even a non-technical business person to begin implementing OpenERP in their business. This book uses real-world examples and is perfect for people who have... 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...

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

    World Scientific Publishing Company 1997; US$ 62.00

    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...

  • Creating Componentsby Charles W. Kann

    CRC Press 2003; US$ 109.95

    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...

  • Functions, Objects and Parallelismby Yuen Chung Kwong

    World Scientific Publishing Company 1999; US$ 27.00

    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

    CRC Press 2011; US$ 106.95

    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...

  • Heterogeneous Computing with OpenCL 2.0by David R. Kaeli; Perhaad Mistry; Dana Schaa; Dong Ping Zhang

    Elsevier Science 2015; US$ 74.95

    Heterogeneous Computing with OpenCL 2.0 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). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: ? Shared virtual memory... more...

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

    Elsevier Science 2013; US$ 58.95

    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...