Cuda For Engineers
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Cuda For Engineers
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Author : Duane Storti
language : en
Publisher: Addison-Wesley Professional
Release Date : 2015-11-02
Cuda For Engineers written by Duane Storti and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-02 with Computers categories.
CUDA for Engineers gives you direct, hands-on engagement with personal, high-performance parallel computing, enabling you to do computations on a gaming-level PC that would have required a supercomputer just a few years ago. The authors introduce the essentials of CUDA C programming clearly and concisely, quickly guiding you from running sample programs to building your own code. Throughout, you’ll learn from complete examples you can build, run, and modify, complemented by additional projects that deepen your understanding. All projects are fully developed, with detailed building instructions for all major platforms. Ideal for any scientist, engineer, or student with at least introductory programming experience, this guide assumes no specialized background in GPU-based or parallel computing. In an appendix, the authors also present a refresher on C programming for those who need it. Coverage includes Preparing your computer to run CUDA programs Understanding CUDA’s parallelism model and C extensions Transferring data between CPU and GPU Managing timing, profiling, error handling, and debugging Creating 2D grids Interoperating with OpenGL to provide real-time user interactivity Performing basic simulations with differential equations Using stencils to manage related computations across threads Exploiting CUDA’s shared memory capability to enhance performance Interacting with 3D data: slicing, volume rendering, and ray casting Using CUDA libraries Finding more CUDA resources and code Realistic example applications include Visualizing functions in 2D and 3D Solving differential equations while changing initial or boundary conditions Viewing/processing images or image stacks Computing inner products and centroids Solving systems of linear algebraic equations Monte-Carlo computations
Cuda Fortran For Scientists And Engineers
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Author : Gregory Ruetsch
language : en
Publisher: Elsevier
Release Date : 2013-09-11
Cuda Fortran For Scientists And Engineers written by Gregory Ruetsch and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-11 with Computers categories.
CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran. To help you add CUDA Fortran to existing Fortran codes, the book explains how to understand the target GPU architecture, identify computationally intensive parts of the code, and modify the code to manage the data and parallelism and optimize performance. All of this is done in Fortran, without having to rewrite in another language. Each concept is illustrated with actual examples so you can immediately evaluate the performance of your code in comparison. - Leverage the power of GPU computing with PGI's CUDA Fortran compiler - Gain insights from members of the CUDA Fortran language development team - Includes multi-GPU programming in CUDA Fortran, covering both peer-to-peer and message passing interface (MPI) approaches - Includes full source code for all the examples and several case studies - Download source code and slides from the book's companion website
Cuda Programming Fundamentals
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-11
Cuda Programming Fundamentals written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-11 with Computers categories.
"CUDA Programming Fundamentals" CUDA Programming Fundamentals is a comprehensive guide designed for engineers, researchers, and students seeking to master parallel computing with NVIDIA’s CUDA platform. Beginning with the foundational differences between CPU and GPU architectures, this book details the evolution of CUDA as a transformative technology in general-purpose GPU computing. Readers are equipped with practical instructions for setting up the CUDA development environment across major operating systems and are introduced to the full breadth of the CUDA ecosystem and compilation model, ensuring a robust understanding before diving into hands-on programming. The core chapters break down CUDA’s programming model, elucidating the principles behind threads, blocks, and grids, while offering thorough explanations of device functions, kernel launches, and synchronization techniques. The book delves deeply into CUDA’s intricate memory architecture, covering global, shared, constant, and unified memory, as well as efficient memory allocation for complex, multi-dimensional data. Best practices for performance tuning are highlighted, with guidance on profiling tools, optimizing memory access patterns, minimizing warp divergence, and maximizing throughput—crucial skills for building scalable, high-performance applications. Advancing beyond fundamental concepts, the text explores advanced patterns for algorithm design, asynchronous programming with streams and events, and the integration of CUDA with Python, OpenGL, and distributed systems. Real-world techniques for debugging, profiling, and error handling are covered alongside strategies for multi-GPU and hybrid computing environments. With in-depth discussions on numerical precision, security, and maintainability, CUDA Programming Fundamentals prepares readers to harness the power of modern GPU hardware while anticipating future trends and innovations in the field of accelerated computing.
Cuda Programming
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Author : Shane Cook
language : en
Publisher: Newnes
Release Date : 2012-12-28
Cuda Programming written by Shane Cook and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-28 with Computers categories.
If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems. - Comprehensive introduction to parallel programming with CUDA, for readers new to both - Detailed instructions help readers optimize the CUDA software development kit - Practical techniques illustrate working with memory, threads, algorithms, resources, and more - Covers CUDA on multiple hardware platforms: Mac, Linux and Windows with several NVIDIA chipsets - Each chapter includes exercises to test reader knowledge
The Ag Engineers Notebook
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Author :
language : en
Publisher:
Release Date : 1983
The Ag Engineers Notebook written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Agricultural engineering categories.
Lasers Optronics
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Author :
language : en
Publisher:
Release Date : 1999
Lasers Optronics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Lasers categories.
Control Engineering
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Author :
language : en
Publisher:
Release Date : 1991
Control Engineering written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Automatic control categories.
Instrumentation and automatic control systems.
Hands On Gpu Programming With Python And Cuda
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Author : Dr. Brian Tuomanen
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-11-27
Hands On Gpu Programming With Python And Cuda written by Dr. Brian Tuomanen and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-27 with Computers categories.
Build real-world applications with Python 2.7, CUDA 9, and CUDA 10. We suggest the use of Python 2.7 over Python 3.x, since Python 2.7 has stable support across all the libraries we use in this book. Key FeaturesExpand your background in GPU programming—PyCUDA, scikit-cuda, and NsightEffectively use CUDA libraries such as cuBLAS, cuFFT, and cuSolverApply GPU programming to modern data science applicationsBook Description Hands-On GPU Programming with Python and CUDA hits the ground running: you’ll start by learning how to apply Amdahl’s Law, use a code profiler to identify bottlenecks in your Python code, and set up an appropriate GPU programming environment. You’ll then see how to “query” the GPU’s features and copy arrays of data to and from the GPU’s own memory. As you make your way through the book, you’ll launch code directly onto the GPU and write full blown GPU kernels and device functions in CUDA C. You’ll get to grips with profiling GPU code effectively and fully test and debug your code using Nsight IDE. Next, you’ll explore some of the more well-known NVIDIA libraries, such as cuFFT and cuBLAS. With a solid background in place, you will now apply your new-found knowledge to develop your very own GPU-based deep neural network from scratch. You’ll then explore advanced topics, such as warp shuffling, dynamic parallelism, and PTX assembly. In the final chapter, you’ll see some topics and applications related to GPU programming that you may wish to pursue, including AI, graphics, and blockchain. By the end of this book, you will be able to apply GPU programming to problems related to data science and high-performance computing. What you will learnLaunch GPU code directly from PythonWrite effective and efficient GPU kernels and device functionsUse libraries such as cuFFT, cuBLAS, and cuSolverDebug and profile your code with Nsight and Visual ProfilerApply GPU programming to datascience problemsBuild a GPU-based deep neuralnetwork from scratchExplore advanced GPU hardware features, such as warp shufflingWho this book is for Hands-On GPU Programming with Python and CUDA is for developers and data scientists who want to learn the basics of effective GPU programming to improve performance using Python code. You should have an understanding of first-year college or university-level engineering mathematics and physics, and have some experience with Python as well as in any C-based programming language such as C, C++, Go, or Java.
Cuda Fortran For Scientists And Engineers
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Author : Brooke J. Bryant
language : en
Publisher: CreateSpace
Release Date : 2015-08-26
Cuda Fortran For Scientists And Engineers written by Brooke J. Bryant and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-26 with categories.
This updated and expanded second edition of the CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA For provides a user-friendly introduction to the subject Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for all those interested in the subject . We hope you find this book useful in shaping your future career & Business.
Aeronautical Engineering Review
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Author :
language : en
Publisher:
Release Date : 1942
Aeronautical Engineering Review written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1942 with Aeronautics categories.