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pdf | 18.36 MB | English | Isbn: 9780262377737 | Author: Tom Deakin, Timothy G. Mattson | Year: 2023
About ebook : Programming Your GPU with OpenMP: Performance Portability for GPUs
The essential guide for writing portable, parallel programs for GPUs using the OpenMP programming model.
Today's computers are complex, multi-architecture systems: multiple cores in a shared address space, graphics processing units (GPUs), and specialized accelerators. To get the most from these systems, programs must use all these different processors. In Programming Your GPU with OpenMP , Tom Deakin and Timothy Mattson help everyone, from beginners to advanced programmers, learn how to use OpenMP to program a GPU using just a few directives and runtime functions. Then programmers can go further to maximize performance by using CPUs and GPUs in parallel-true heterogeneous programming. And since OpenMP is a portable API, the programs will run on almost any system.
Programming Your GPU with OpenMP shares best practices for writing performance portable programs. Key features include:
[*]The most up-to-date APIs for programming GPUs with OpenMP with concepts that transfer to other approaches for GPU programming.
[*]Written in a tutorial style that embraces active learning, so that readers can make immediate use of what they learn via provided source code.
[*]Builds the OpenMP GPU Common Core to get programmers to serious production-level GPU programming as fast as possible.
Additional features:
[*]A reference guide at the end of the book covering all relevant parts of OpenMP 5.2.
[*]An online repository containing source code for the example programs from the book-provided in all languages currently supported by OpenMP: C, C++, and Fortran.
[*]Tutorial videos and lecture slides.
Category: Computers, Computers - General & Miscellaneous, Computer Programming, Parallel, Distributed, and Supercomputing, Programming - General & Miscellaneous
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