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Programming Massively Parallel Processors: A Hands-on Approach, Third Edition shows both student and professional alike the basic concepts of parallel programming and GPU architecture, exploring, in detail, various techniques for constructing parallel programs.

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Slide 3. Massively parallel computing for NWP and climate. What is Parallel Computing? The simultaneous use of more than one processor or computer to solve. References [1] BDTI - Intel MMX Pentium (http:/ / www. bdti. com/ procsum/ mmx_pent. htm) [2] Intel Pentium Processors with MMX Technology for Embedded Computing - Overview (http:/ / www. This design provides a new challenge to chip programming. Parallel programming languages such as the open-source X10 programming language are designed to assist with this task. These performance increases were enabled by the technology progress in the areas of processors, computer memory, computer storage, and computer networks. 1. John L. Hennessy and David A. Patterson “Quantative Approach –Computer Architecture” 5th edition, Morgan Kaufmann, 2011. 2. Shameem Akhter and Jason Roberts, “Multi-Core Programming”, 1st edition, Intel Press, 2006.

Fayez Gebali. Algorithms and Parallel Computing (1st Edition), Wiley, 2011. Thomas Cormen, Charles Leiserson, Ronald Rivest, and Clifford Stein. Introduction to Algorithms (3rd Edition), MIT Press, 2009. (chapter 27 on Multithreaded Algorithms) Peter Pacheco. Parallel Programming with MPI (1st Edition), Morgan Kaufmann, 1996.

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CUDA by Example: An Introduction to General-Purpose GPU Programming (2010) Programming Massively Parallel Processors, Third Edition: A Hands-on 

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