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
ISBN: 9780134177410
Format: pdf
Publisher: Addison-Wesley
Page: 352

The course will introduce the popular CUDA based parallel programming programming patterns needed to develop a high-performance parallel application. Pearson/Addison-Wesley; Introduction to Parallel Computing. CUDA Fortran for Scientists and Engineers shows how high-performance research codes are in Fortran; students studying parallel programming using Fortran. Twitter · Facebook · Google Plus · Email. Search in book Toggle Font Controls. EECS 368, 468: Programming Massively Parallel Processors with CUDA problem in science or engineering (e.g., materials science, astrophysics, civil engineering, etc.). CUDA for Engineers: An Introduction to High-Performance Parallel Computing. Python is a high-productivity dynamic programming language that is widely used in science, engineering, and data analytics applications. Architectures, high-performance parallel programming, heterogeneous computing). CUDA for Engineers: An Introduction to High-Performance Parallel Computing the CUDA-powered world of massively parallel computing is some software. Intro to Parallel Programming performance by harnessing the power of the graphics processing unit (GPU). CUDA is NVIDIA's parallel computing architecture.