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- Packt Publishing 2015; US$ 39.99
Master efficient parallel programming to build powerful applications using Python About This Book : ; Design and implement efficient parallel software ; Master new programming techniques to address and solve complex programming problems ; Explore the world of parallel programming with this book, which is a go-to resource for different kinds of parallel... more...
- Elsevier Science 2015; US$ 79.95
High Performance Parallelism Pearls Volume 2 offers another set of examples that demonstrate how to leverage parallelism. Similar to Volume 1, the techniques included here explain how to use processors and coprocessors with the same programming ? illustrating the most effective ways to combine Xeon Phi coprocessors with Xeon and other multicore... more...
- 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...
- 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 in an easy-to-follow... more...
- Elsevier Science 2014; US$ 72.95
This is the book that will teach programmers to write faster, more efficient code for parallel processors. The reader is introduced to a vast array of procedures and paradigms on which actual coding may be based. Examples and real-life simulations using these devices are presented in C and FORTRAN. more...
- 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...
- 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...
- 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...
- Elsevier Science 2012; US$ 74.95
Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends... more...
- 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...