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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 Duane Storti, Mete Yurtoglu ebook
Page: 352
Format: pdf
ISBN: 9780134177410
Publisher: Addison-Wesley

CUDA for Engineers: An Introduction to High-Performance Parallel Computing. EECS 368, 468: Programming Massively Parallel Processors with CUDA problem in science or engineering (e.g., materials science, astrophysics, civil engineering, etc.). CUDA Practicalities: Timing, Profiling, Error Handling, and Debugging So far we have just run full steam ahead into CUDA CUDA for Engineers: An Introduction to High-Performance Parallel Computing C. Introduction to High Performance Computing for Scientists and Engineers. Pearson/Addison-Wesley; Introduction to Parallel Computing. Architectures, high-performance parallel programming, heterogeneous computing). Students will be able to use parallel environments (MPI, OpenMP), CUDA. An introduction to a new emerging paradigm: GPU Computing with CUDA. CUDA is steadily winning customers in scientific and engineering fields. By Editor IJSR in Parallel Computing and GPU. Therefore, parallel computing is an essential solution to speed up the computation. Search in book Toggle Font Controls; Share this. Python is a high-productivity dynamic programming language that is widely used in science, engineering, and data analytics applications. Retrouvez CUDA for Engineers: An Introduction to High-Performance Parallel Computing et des millions de livres en stock sur Amazon.fr. CUDA for Engineers: An Introduction to High-Performance Parallel “GPU computing is becoming an outstanding field in high performance computing.