Several sources have just informed me that new GPU Programming book from some of the senior staff (current and former) at NVidia, Programming Massively Parallel Processors, is now available. From the book’s website:
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 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.Key Features
- First and only text that teaches how to program within a massively parallel environment
- Practical approach teaches students how to become effective parallel programmers
- Online portions derived from NVIDIA provided content have been part of the curriculum at over 200 universities worldwide
- Online draft has been tested and taught by Kirk at the University of Illinois
- Book utilizes OpenCL and CUDA, NVIDIA’s software development tool developed specifically for massively parallel environments.
The 256 pages of GPU-computing reference goodness is currently available for pre-order from Amazon for $62.95, and is getting high marks from the reviewers. It has also been added to the VizWorld Store.
