CUDA for Engineers: An Introduction to High-Performance Parallel Computing by Duane Storti, Mete Yurtoglu

CUDA for Engineers: An Introduction to High-Performance Parallel Computing



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CUDA for Engineers: An Introduction to High-Performance Parallel Computing Duane Storti, Mete Yurtoglu ebook
Publisher: Addison-Wesley
Page: 352
ISBN: 9780134177410
Format: pdf


This paper talks GPU is a graphical processing unit which enables you to run high definitions graphics NVIDIA introduced its massively parallel architecture called “CUDA” in 2006-. 6.1 Books on CUDA Course notes on Rob Bisseling's lecture on Parallel Algorithms V. CUDA for Engineers: An Introduction to High-Performance Parallel Computing. Search in book Toggle Font Controls; Share this. Department of Computer Engineering, MITCOE, Pune University, India computing performance, by harnessing the power of the GPU. CUDA is NVIDIA's parallel computing architecture. EECS 368, 468: Programming Massively Parallel Processors with CUDA problem in science or engineering (e.g., materials science, astrophysics, civil engineering, etc.). Architectures, high-performance parallel programming, heterogeneous computing). Instantly access CUDA for Engineers: An Introduction to High-Performance Parallel Computing by Mete Yurtoglu, Duane Storti. By Editor IJSR in Parallel Computing and GPU. Pearson/Addison-Wesley; Introduction to Parallel Computing. Intro to Parallel Programming performance by harnessing the power of the graphics processing unit (GPU). Supercomputing 2009 Tutorial: High-Performance Computing with CUDA NVIDIA's CUDA is a general-purpose architecture for writing highly parallel applications.





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