Hwu Wen-mei W. (EN) — Programming Massively Parallel Processors

Тут можно читать онлайн книгу Hwu Wen-mei W. (EN) - Programming Massively Parallel Processors - бесплатно полную версию (целиком). Жанр книги: Иностранная литература. Вы можете прочесть полную версию (весь текст) онлайн без регистрации и смс на сайте Lib-King.Ru (Либ-Кинг) или прочитать краткое содержание, аннотацию (предисловие), описание и ознакомиться с отзывами (комментариями) о произведении.

Programming Massively Parallel Processors
Язык книги: Английский
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Programming Massively Parallel Processors краткое содержание

Programming Massively Parallel Processors - описание и краткое содержание, автор Hwu Wen-mei W. (EN), читать бесплатно онлайн на сайте электронной библиотеки Lib-King.Ru.

Programming Massively Parallel Processors discusses basic concepts about parallel programming and GPU architecture. "Massively parallel" refers to the use of a large number of processors to perform a set of computations in a coordinated parallel way. The book details various techniques for constructing parallel programs. It also discusses the development process, performance level, floating-point format, parallel patterns, and dynamic parallelism. The book serves as a teaching guide where parallel programming is the main topic of the course. It builds on the basics of C programming for CUDA, a parallel programming environment that is supported on NVI- DIA GPUs. Composed of 12 chapters, the book begins with basic information about the GPU as a parallel computer source. It also explains the main concepts of CUDA, data parallelism, and the importance of memory access efficiency using CUDA. The target audience of the book is graduate and undergraduate students from all science and engineering disciplines who need information about computational thinking and parallel programming.Teaches computational thinking and problem-solving techniques that facilitate high-performance parallel computing.Utilizes CUDA (Compute Unified Device Architecture), NVIDIA's software development tool created specifically for massively parallel environments.Shows you how to achieve both high-performance and high-reliability using the CUDA programming model as well as OpenCL.

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