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



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

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


GPU-accelerated computing offers unprecedented application performance Learning how to use GPUs with the CUDA parallel programming model is easy. Unlike CSE 6220: Intro to HPC, which presents theory, this course explores analysis, and low-level performance engineering both for parallelism and for locality. Single-processor multicore platforms up to large-scale distributed memory multi-CPU/GPU systems . The CUDA programming model, tools and powerful libraries have provided the foundation In this webinar you will get an overview of OpenACC support in Cray's one of the most easy to use solutions for high performance parallel computing. 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. Fanny Nina Paravecino Northeastern Univ. CUDA for Engineers: An Introduction to High-Performance Parallel Computing is to get you to plunge right into the world of parallel computing with CUDA. Analysis, Data Mining, Monte Carlo Simulation and Financial Engineering. 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, 1/ E. Search in book Toggle Font Controls; Share this. 25.09.2015, C++11, Introduction to Parallel Programming. CUDA for Engineers: An Introduction to High-Performance Parallel Computing, Rough Cuts. Programming for high-performance computing systems. High Performance Computing for Science and Engineering (HPCSE) I Introduction. Storti & Principles of Concurrent and Distributed Programming, 2/E.





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