By Wen-mei W. Hwu, David B. Kirk
Multi-core processors aren't any longer the way forward for computing-they are the current day fact. a customary heavily produced CPU good points a number of processor cores, whereas a GPU (Graphics Processing Unit) could have hundreds of thousands or perhaps millions of cores. With the increase of multi-core architectures has come the necessity to train complicated programmers a brand new and crucial ability: the way to software vastly parallel processors.
Programming hugely Parallel Processors: A Hands-on Approach exhibits either scholar alike the fundamental innovations of parallel programming and GPU structure. quite a few ideas for developing parallel courses are explored intimately. Case reports reveal the improvement strategy, which starts with computational considering and ends with powerful and effective parallel programs.
* Teaches computational considering and problem-solving suggestions that facilitate high-performance parallel computing.
* makes use of CUDA (Compute Unified equipment Architecture), NVIDIA's software program improvement device created in particular for vastly parallel environments.
* exhibits you ways to accomplish either high-performance and high-reliability utilizing the CUDA programming version in addition to OpenCL.
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Additional info for Programming Massively Parallel Processors: A Hands-on Approach (Applications of GPU Computing Series)
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We begin by discussing the translational process of organizing abstract scientific concepts into computational tasks, an important first step in producing quality application software, serial or parallel. The chapter then addresses parallel algorithm structures and their effects on application performance, which is grounded in the performance tuning experience with CUDA. The chapter concludes with a treatment of parallel programming styles and models, allowing the readers to place their knowledge in a wider context.