Programming Massively Parallel Processors: A Hands-on Approach (Google eBook)
Multi-core processors are no longer the future of computing-they are the present day reality. A typical mass-produced CPU features multiple processor cores, while a GPU (Graphics Processing Unit) may have hundreds or even thousands of cores. With the rise of multi-core architectures has come the need to teach advanced programmers a new and essential skill: how to program massively parallel processors.
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 with effective and efficient parallel programs.
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LibraryThing ReviewUser Review - LibraryThing
A great introduction to programming on GPUs but you should probably buy another book with it. This is a great read for the concepts and just enough code so you have an idea of what is going on. The performance considerations discussed in the various chapters are also great.
Review: Programming Massively Parallel Processors: A Hands-on Approach (Applications of GPU Computing Series)User Review - Joecolelife - Goodreads
One of the problems with many parallel programming books is that they take too general of an approach, which can leave the reader to figure out how to implement the ideas using the library of his/her ... Read full review
CUDA Programming: A Developer's Guide to Parallel Computing with GPUs
Limited preview - 2013
History of GPU Computing
Introduction to CUDA
Floating Point Considerations
Application Case Study Advanced MRI Reconstruction