Angol
Multicore and GPU Programming: An Integrated Approach offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore "massively parallel" computing. Using threads, OpenMP, MPI, CUDA, and other current tools it teaches the design and development of software capable of taking advantage of today’s computing platforms incorporating CPU and GPU hardware and explains how to transition from sequential programming to a parallel computing paradigm. Presenting material refined over more than a decade of teaching parallel computing, author Gerassimos Barlas minimizes the challenge with multiple examples, extensive case studies, and full source code. Using this book, readers can develop programs that run over distributed memory machines using MPI, create multi-threaded applications with either libraries or directives, write optimized applications that balance the workload between available computing resources, and profile and debug programs targeting multicore machines. Comprehensive coverage of all major multicore programming tools, including threads, OpenMP, MPI, and CUDA, with coverage of OpenCL and OpenACC addedDemonstrates parallel programming design patterns and examples of how different tools and paradigms can be integrated for superior performanceNew features in the second edition include the use of the C++14 standard for all sample code, a new chapter on concurrent data structures, and the latest research on load balancingDownload source code, examples, and instructor support materials on the book’s companion website
