CUDA Programming

Written By Shane Cook
CUDA Programming
  • Publsiher : Newnes
  • Release : 30 July 2021
  • ISBN : 0124159338
  • Pages : 576 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled CUDA Programming written by Shane Cook which was release on 30 July 2021, this book published by Newnes. Available in PDF, EPUB and Kindle Format. Book excerpt: 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

Professional CUDA C Programming

Professional CUDA C Programming
  • Author : John Cheng,Max Grossman,Ty McKercher
  • Publisher : John Wiley & Sons
  • Release Date : 2014-09-09
  • Total pages : 528
  • ISBN : 0124159338
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Summary : Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across multiple industrial sectors, Professional CUDA C Programming presents CUDA -- a parallel computing platform and programming model designed to ease the development of GPU programming -- fundamentals in an easy-to-follow format, and ...

CUDA Programming

CUDA Programming
  • Author : Shane Cook
  • Publisher : Newnes
  • Release Date : 2013
  • Total pages : 576
  • ISBN : 0124159338
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Summary : 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 ...

CUDA by Example

CUDA by Example
  • Author : Jason Sanders,Edward Kandrot
  • Publisher : Addison-Wesley Professional
  • Release Date : 2010-07-19
  • Total pages : 312
  • ISBN : 0124159338
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Summary : CUDA is a computing architecture designed to facilitate the development of parallel programs. In conjunction with a comprehensive software platform, the CUDA Architecture enables programmers to draw on the immense power of graphics processing units (GPUs) when building high-performance applications. GPUs, of course, have long been available for demanding graphics ...

The CUDA Handbook

The CUDA Handbook
  • Author : Nicholas Wilt
  • Publisher : Addison-Wesley
  • Release Date : 2013-06-11
  • Total pages : 528
  • ISBN : 0124159338
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Summary : The CUDA Handbook begins where CUDA by Example (Addison-Wesley, 2011) leaves off, discussing CUDA hardware and software in greater detail and covering both CUDA 5.0 and Kepler. Every CUDA developer, from the casual to the most sophisticated, will find something here of interest and immediate usefulness. Newer CUDA developers will see how ...

Hands On GPU Programming with Python and CUDA

Hands On GPU Programming with Python and CUDA
  • Author : Dr. Brian Tuomanen
  • Publisher : Packt Publishing Ltd
  • Release Date : 2018-11-27
  • Total pages : 310
  • ISBN : 0124159338
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Summary : 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 Features Expand your background in GPU programming—PyCUDA, scikit-cuda, and Nsight Effectively use CUDA libraries such as cuBLAS, ...

Hands On GPU Programming with CUDA

Hands On GPU Programming with CUDA
  • Author : Jaegeun Han,Bharatkumar Sharma
  • Publisher : Unknown
  • Release Date : 2019-09-27
  • Total pages : 508
  • ISBN : 0124159338
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Summary : Explore different GPU programming methods using libraries and directives, such as OpenACC, with extension to languages such as C, C++, and Python Key Features Learn parallel programming principles and practices and performance analysis in GPU computing Get to grips with distributed multi GPU programming and other approaches to GPU programming ...

Multicore and GPU Programming

Multicore and GPU Programming
  • Author : Gerassimos Barlas
  • Publisher : Elsevier
  • Release Date : 2014-12-16
  • Total pages : 698
  • ISBN : 0124159338
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Summary : Multicore and GPU Programming offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore "massively parallel" computing. Using threads, OpenMP, MPI, and CUDA, it teaches the design and development of software capable of taking advantage of today’s computing platforms incorporating CPU and GPU hardware and ...

GPU Programming in MATLAB

GPU Programming in MATLAB
  • Author : Nikolaos Ploskas,Nikolaos Samaras
  • Publisher : Morgan Kaufmann
  • Release Date : 2016-08-25
  • Total pages : 318
  • ISBN : 0124159338
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Summary : GPU programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would like to accelerate their codes using GPU programming without losing the many benefits of MATLAB. The book starts with coverage of the Parallel Computing Toolbox and other MATLAB toolboxes for ...

GPU Parallel Program Development Using CUDA

GPU Parallel Program Development Using CUDA
  • Author : Tolga Soyata
  • Publisher : CRC Press
  • Release Date : 2018-01-19
  • Total pages : 440
  • ISBN : 0124159338
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Summary : GPU Parallel Program Development using CUDA teaches GPU programming by showing the differences among different families of GPUs. This approach prepares the reader for the next generation and future generations of GPUs. The book emphasizes concepts that will remain relevant for a long time, rather than concepts that are platform-specific. ...

The OpenCL Programming Book

The OpenCL Programming Book
  • Author : http://www.fixstars.com/en/opencl/book/
  • Publisher : Fixstars
  • Release Date : 2021-07-30
  • Total pages : 212
  • ISBN : 0124159338
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Summary : Download or read online The OpenCL Programming Book written by http://www.fixstars.com/en/opencl/book/, published by Fixstars which was released on . Get The OpenCL Programming Book Books now! Available in PDF, ePub and Kindle....

Hands On GPU Accelerated Computer Vision with OpenCV and CUDA

Hands On GPU Accelerated Computer Vision with OpenCV and CUDA
  • Author : Bhaumik Vaidya
  • Publisher : Packt Publishing Ltd
  • Release Date : 2018-09-26
  • Total pages : 380
  • ISBN : 0124159338
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Summary : Discover how CUDA allows OpenCV to handle complex and rapidly growing image data processing in computer and machine vision by accessing the power of GPU Key Features Explore examples to leverage the GPU processing power with OpenCV and CUDA Enhance the performance of algorithms on embedded hardware platforms Discover C++ ...

Trends in Functional Programming

Trends in Functional Programming
  • Author : Zoltan Horvath
  • Publisher : Intellect Books
  • Release Date : 2013-10-10
  • Total pages : 187
  • ISBN : 0124159338
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Summary : Volume 10 in the Trends in Functional Programming (TFP) series presents some of the latest research results in the implementation of functional programming languages and the practice of functional programming. It contains a peer-reviewed selection of the best articles presented at the 2009 Tenth Symposium on Trends in Functional Programming held in ...

Learning CUDA 10 Programming

Learning CUDA 10 Programming
  • Author : Nathan Weston
  • Publisher : Unknown
  • Release Date : 2019
  • Total pages : 212
  • ISBN : 0124159338
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Summary : Harness the power of GPUs to speed up your applications About This Video Learn parallel programming principles, practices, and performance analysis in GPU programming Learn to design and implement optimized parallel algorithms Learn to write programs in the CUDA language with the latest CUDA toolkit In Detail Do you want ...

Ascend AI Processor Architecture and Programming

Ascend AI Processor Architecture and Programming
  • Author : Xiaoyao Liang
  • Publisher : Elsevier
  • Release Date : 2020-07-29
  • Total pages : 308
  • ISBN : 0124159338
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Summary : Ascend AI Processor Architecture and Programming: Principles and Applications of CANN offers in-depth AI applications using Huawei’s Ascend chip, presenting and analyzing the unique performance and attributes of this processor. The title introduces the fundamental theory of AI, the software and hardware architecture of the Ascend AI processor, related ...

Programming Massively Parallel Processors

Programming Massively Parallel Processors
  • Author : David B. Kirk,Wen-mei W. Hwu
  • Publisher : Elsevier
  • Release Date : 2010-02-22
  • Total pages : 280
  • ISBN : 0124159338
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Summary : Programming Massively Parallel Processors discusses the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This book describes computational thinking techniques that ...