About Programming Massively Parallel Processors
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Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs.
This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing.
Author: 
David B. Kirk
Author: 
Wen-mei Hwu
Estimated Reading Time: 14 hrs. 34 min.Page Number: 514Publication Date: 31 December 2012Publisher: NewnesISBN: 9780123914187Language: EnglishFormat: Karton kapak
About the Author
David B. KirkYazar · 1 books
David B. Kirk, grafik donanımı ve algoritma araştırmalarına yaptığı katkılarla tanınmaktadır. Caltech'te çalışmalarına başladığında, MIT'den makine mühendisliği alanında BS ve MS dereceleri almıştı ve Raster Technologies ve Hewlett-Packard'ın Apollo Systems Bölümü'nde mühendis olarak çalıştı ve doktorasını aldıktan sonra Crystal Dynamics'e katıldı, baş bilim adamı ve teknoloji başkanı olarak bir video oyunu yapım şirketi. 1997 yılında, görsel bilgi işlem teknolojilerinde lider olan NVIDIA'da Baş Bilim İnsanı olarak görev aldı ve şu anda bir NVIDIA Üyesi.
