Libros UCLV { BETA }

GPU Programming

CUDA by Example addresses the heart of the software development challenge by leveraging one of the most innovative and powerful solutions to the problem of programming the massively parallel accelerators in recent years. This book introduces you to programming in CUDA C by providing examples and insight into the process of constructing and effectively using NVIDIA GPUs. It presents introductory concepts of parallel computing from simple examples to debugging (both logical and performance), as well as covers advanced topics and issues related to using and building many applications. Throughout the book, programming examples reinforce the concepts that have been presented.

A beginner's guide to GPU programming and parallel computing with CUDA 10.x and C/C++. This book is designed to be an entry point for any newcomer or novice developer. But by the end of it, you will be able to write optimized CUDA code for different domains, including artificial intelligence.

Cuda programming

This book will be a valuable resource for anyone who wants to use GPUs for scientific and technical programming. It provides a comprehensive introduction to the CUDA programming interface and its usage. For a start, it describes the basics of parallel computing on heterogeneous architectures and introduces the features of CUDA. It then explains how CUDA programs are executed. CUDA exposes the execution and memory model to the programmer; as a result, the CUDA programmer has direct control of the massively parallel environment. In addition to giving details of the CUDA memory model, the text provides a wealth of information on how it can be utilized.

CUDA

Introduccion a la programacion en CUDA. El manual recorre los elementos fundamentales de CUDA y propone un conjunto de ejercicios sobre cada uno de los temas

CUDA

The goal of this book is to give you direct, hands-on engagement with personal high-performance computing. If you follow along on our foray into the CUDA world, you will gain the benefit of massive parallelism and be able to perform computations on a basic gaming computer that until very recently required a supercomputer. The material presented in this book will help you make sense of more sophisticated CUDA literature and pursue your own CUDA projects.