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.

* 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.

Download File Size:4.42 MB

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