Professional CUDA C Programming

Written By John Cheng
Professional CUDA C Programming
  • Publsiher : John Wiley & Sons
  • Release : 09 September 2014
  • ISBN : 1118739329
  • Pages : 528 pages
  • Rating : 4.5/5 from 2 reviews
GET THIS BOOKProfessional CUDA C Programming


Read or download book entitled Professional CUDA C Programming written by John Cheng which was release on 09 September 2014, this book published by John Wiley & Sons. Available in PDF, EPUB and Kindle Format. Book excerpt: 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 teaches readers how to think in parallel and implement parallel algorithms on GPUs. Each chapter covers a specific topic, and includes workable examples that demonstrate the development process, allowing readers to explore both the "hard" and "soft" aspects of GPU programming. Computing architectures are experiencing a fundamental shift toward scalable parallel computing motivated by application requirements in industry and science. This book demonstrates the challenges of efficiently utilizing compute resources at peak performance, presents modern techniques for tackling these challenges, while increasing accessibility for professionals who are not necessarily parallel programming experts. The CUDA programming model and tools empower developers to write high-performance applications on a scalable, parallel computing platform: the GPU. However, CUDA itself can be difficult to learn without extensive programming experience. Recognized CUDA authorities John Cheng, Max Grossman, and Ty McKercher guide readers through essential GPU programming skills and best practices in Professional CUDA C Programming, including: CUDA Programming Model GPU Execution Model GPU Memory model Streams, Event and Concurrency Multi-GPU Programming CUDA Domain-Specific Libraries Profiling and Performance Tuning The book makes complex CUDA concepts easy to understand for anyone with knowledge of basic software development with exercises designed to be both readable and high-performance. For the professional seeking entrance to parallel computing and the high-performance computing community, Professional CUDA C Programming is an invaluable resource, with the most current information available on the market.

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 : 1118739329
GET BOOK

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 : 1118739329
GET BOOK

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 ...

The CUDA Handbook

The CUDA Handbook
  • Author : Nicholas Wilt
  • Publisher : Addison-Wesley
  • Release Date : 2013-06-11
  • Total pages : 528
  • ISBN : 1118739329
GET BOOK

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 ...

CUDA by Example

CUDA by Example
  • Author : Jason Sanders,Edward Kandrot
  • Publisher : Addison-Wesley Professional
  • Release Date : 2010-07-19
  • Total pages : 312
  • ISBN : 1118739329
GET BOOK

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 ...

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 : 1118739329
GET BOOK

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, ...

Cuda By Example

Cuda By Example
  • Author : Edward Kandrot,Jason Sanders
  • Publisher : Unknown
  • Release Date : 2011
  • Total pages : 290
  • ISBN : 1118739329
GET BOOK

Summary : CUDA is a computing architecture designed to facilitate the development of parallel programs. This book shows programmers how to employ this new technology. Each area of CUDA development is introduced through working examples. After a concise introduction to the CUDA platform and architecture, as well as a quick-start guide to ...

Professional CUDA C Programming

Professional CUDA C Programming
  • Author : John Cheng,Max Grossman,Ty McKercher
  • Publisher : John Wiley & Sons
  • Release Date : 2014-09-08
  • Total pages : 528
  • ISBN : 1118739329
GET BOOK

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 ...

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 : 1118739329
GET BOOK

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. ...

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 : 1118739329
GET BOOK

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 ...

Multicore and GPU Programming

Multicore and GPU Programming
  • Author : Gerassimos Barlas
  • Publisher : Elsevier
  • Release Date : 2014-12-16
  • Total pages : 698
  • ISBN : 1118739329
GET BOOK

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 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 : 1118739329
GET BOOK

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. ...

Embedded Software Design and Programming of Multiprocessor System on Chip

Embedded Software Design and Programming of Multiprocessor System on Chip
  • Author : Katalin Popovici,Frédéric Rousseau,Ahmed A. Jerraya,Marilyn Wolf
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-03-03
  • Total pages : 290
  • ISBN : 1118739329
GET BOOK

Summary : Current multimedia and telecom applications require complex, heterogeneous multiprocessor system on chip (MPSoC) architectures with specific communication infrastructure in order to achieve the required performance. Heterogeneous MPSoC includes different types of processing units (DSP, microcontroller, ASIP) and different communication schemes (fast links, non standard memory organization and access). Programming an ...

An Introduction to Parallel Programming

An Introduction to Parallel Programming
  • Author : Peter Pacheco,Matthew Malensek
  • Publisher : Morgan Kaufmann
  • Release Date : 2021-08-27
  • Total pages : 496
  • ISBN : 1118739329
GET BOOK

Summary : An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP. As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its ...

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 : 1118739329
GET BOOK

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 ...

Parallel Programming

Parallel Programming
  • Author : Thomas Rauber,Gudula Rünger
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-06-13
  • Total pages : 516
  • ISBN : 1118739329
GET BOOK

Summary : Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader ...