Cuda Application Design Development by Farber Rob (31 results)

Condition: good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.

paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Condition: very_good. Used - Very Good: Item may have minor cosmetic defects.

Condition: Good. Exact ISBN match. Immediate shipping. No funny business.

Softcover. Condition: Neu. 1. Auflage. XVII, 315 pages with many b/w-illustrations.

Paperback. Condition: Very Good-. 1st Edition (Unstated); First Printing. 7.5 X 0.76 X 9.25 inches; 315 pages; Scuff to exterior edge of pages. Stain to exterior edge of pages, minor. Very Good condition otherwise. No other noteworthy defects. No markings. ; - Your satisfaction is our priority. We offer free returns and respond promptly to all inquiries. Your item will be carefully cushioned in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence.

Condition: New.

Soft cover. Condition: As New. 1st Edition. As new copy. A tight, bright, and clean copy with no inscriptions and no annotations/notes. No creasing to spine/cover or foxing to pages. Fantastic condition book. 315pp. (19x23.5cm). Please contact us for any more information.

Condition: As New. Unread book in perfect condition.

Paperback or Softback. Condition: New. CUDA Application Design and Development. Book.

Condition: New. pp. 336 Illus.

Paperback. Condition: New.

Paperback. Condition: New. As the computer industry retools to leverage massively parallel graphics processing units (GPUs), this book is designed to meet the needs of working software developers who need to understand GPU programming with CUDA and increase efficiency in their projects. CUDA Application Design and Development starts with an introduction to parallel computing concepts for readers with no previous parallel experience, and focuses on issues of immediate importance to working software developers: achieving high performance, maintaining competitiveness, analyzing CUDA benefits versus costs, and determining application lifespan. The book then details the thought behind CUDA and teaches how to create, analyze, and debug CUDA applications. Throughout, the focus is on software engineering issues: how to use CUDA in the context of existing application code, with existing compilers, languages, software tools, and industry-standard API libraries. Using an approach refined in a series of well-received articles at Dr Dobb's Journal, author Rob Farber takes the reader step-by-step from fundamentals to implementation, moving from language theory to practical coding.

Condition: New. pp. 336.

Condition: New.

Condition: New. pp. 336.

Condition: New. In.

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

Paperback. Condition: New.

Paperback. Condition: Very Good. As the computer industry retools to leverage massively parallel graphics processing units (GPUs), this book is designed to meet the needs of working software developers who need to understand GPU programming with CUDA and increase efficiency in their projects. CUDA Application Design and Development starts with an introduction to parallel computing concepts for readers with no previous parallel experience, and focuses on issues of immediate importance to working software developers: achieving high performance, maintaining competitiveness, analyzing CUDA benefits versus costs, and determining application lifespan. The book then details the thought behind CUDA and teaches how to create, analyze, and debug CUDA applications. Throughout, the focus is on software engineering issues: how to use CUDA in the context of existing application code, with existing compilers, languages, software tools, and industry-standard API libraries. Using an approach refined in a series of well-received articles at Dr Dobb's Journal, author Rob Farber takes the reader step-by-step from fundamentals to implementation, moving from language theory to practical coding. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condition: As New. Unread book in perfect condition.

Kartoniert / Broschiert. Condition: New. Includes multiple examples building from simple to more complex applications in four key areas: machine learning, visualization, vision recognition, and mobile computing Addresses the foundational issues for CUDA development: multi-threade.

Paperback. Condition: New. As the computer industry retools to leverage massively parallel graphics processing units (GPUs), this book is designed to meet the needs of working software developers who need to understand GPU programming with CUDA and increase efficiency in their projects. CUDA Application Design and Development starts with an introduction to parallel computing concepts for readers with no previous parallel experience, and focuses on issues of immediate importance to working software developers: achieving high performance, maintaining competitiveness, analyzing CUDA benefits versus costs, and determining application lifespan. The book then details the thought behind CUDA and teaches how to create, analyze, and debug CUDA applications. Throughout, the focus is on software engineering issues: how to use CUDA in the context of existing application code, with existing compilers, languages, software tools, and industry-standard API libraries. Using an approach refined in a series of well-received articles at Dr Dobb's Journal, author Rob Farber takes the reader step-by-step from fundamentals to implementation, moving from language theory to practical coding.

Taschenbuch. Condition: Neu. CUDA Application Design and Development | Rob Farber | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2011 | Elsevier Inc | EAN 9780123884268 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date: 2013 Pages: 292 Language: Chinese in Publisher: China Machine Press high performance CUDA applications design and development: methods and best practices is widely recognized as the systematic study of the development and design of high-performance CUDA applications The classics. years of work experience of U.S. national security laboratory experienced high-performance programming experts crystals. senior expert of the Oak Ridge National Laboratory strongly recommended! Not only from a hardware point of view. the book in-depth interpretation of the design philosophy of CUDA and GPGPU hardware architecture. CUDA applications design and development of thinking and explain from a software point of view. the methods. techniques. guidelines. considerations and best practices. Chapter 1 first introduces the the CUDA core concepts and programming ideas. as well as build the tools and methods needed to debug CUDA applications. and then explain a the CPU programming guidelines for effectively improve program performance; Chapter 2 explained CUDA in machine learning and optimization the core concepts and applications. and gives a complete generic framework; Chapter 3 describes the the CUDA performance analysis tool suite as well as performance analysis method. PCA and NLPCA data mining method; explain in Chapter 4 CUDA execution model. profoundly reveals the work and principles of the GPU; Chapter 5 describes the CUDA provides a variety of GPU memory. as well as the advantages and disadvantages of the various memory; Chapter 6 to explain the efficient use of memory technology; Chapter 7 GPU to provide a variety of parallel applications; Chapter 8 first discusses a variety of the CUDA backend equipment. and CUDA Python. Java. R high-level language to interact; Chapter 9 explain the the CUDA graphics rendering mixed programming; Chapter 10 explain the methods and technical details of cloud computing and cluster environments using CUDA; Chapter 11 introduces the CUDA processing in high-dimensional data. the real problem of the force directed graph. interactive workflow quantum chemistry applications; Chapter 12 to learn CUDA design a comprehensive application for real-time video streaming cases. Contents: Translator foreword Foreword Preface Chapter 1 the CUDA Getting started with programming ideas 1.1 source code and Wiki 1.2 a for the difference between CUDA and traditional application development example 1.3 to select the appropriate CUDA API1.4 CUDA some basic concepts 1.5 understand the first Runtime Kernel1.6 GPGPU programming three rules 1.6.1 Rule 1: the data into the always stored in GPU1.6.2 Rule 2: Leave it to GPGPU enough task 1.6.3 Principle 3: focus on reuse data on GPGPU to avoid ideas and data transmission bandwidth limit of 1.7 big O notation 1.8 CUDA and Amdahl's Law 1.9 data parallel and task parallel 1.10 hybrid execution: using both the CPU and GPU resources 1.11 regression testing and correctness 1.12 silent error 1.13 1.14 UNIX debugging Profile. debug method 1.14. 1 NVIDIA cuda-gdb debugger 1.14.2 CUDA memory checker 1.14.3 used by UNIX ddd interface the cuda-gdb1.15 use Parallel Nsight 1.16 Chapter Summary Chapter 2 CUDA in machine learning and optimization application debugging Windows 2.1 build mode with analog 2.1.1 2.1.2 Nelder-Mead method of fitting a parametric model 2.1.3 Levenberg-Marquardt method 2.1.4 algorithm accelerated 2.2 machine learning and neural networks 2.3 XOR logic: a nonlinear machine learning problem 2.3.1 The objective function example 2.3.2 Discussion 2.6 Chapter Summary 2.7 C + + NELDER 2.5 performance optimization for a brief discussion of the code 2.4 XOR logic performance results for the multi-GPU devices. a complete multi-CPU processor functor 2.3.3 complete Nelder-Mead Chapter 3 of the Code Templates-MEAD CUDA toolkit: the PCA. NLPCA performance analysis 3.1 PC.

Condition: new. Questo è un articolo print on demand.

Paperback. Condition: Brand New. 1st edition. 336 pages. 9.10x7.40x1.00 inches. In Stock. This item is printed on demand.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As the computer industry retools to leverage massively parallel graphics processing units (GPUs), this book is designed to meet the needs of working software developers who need to understand GPU programming with CUDA and increase efficiency in their projects. CUDA Application Design and Development starts with an introduction to parallel computing concepts for readers with no previous parallel experience, and focuses on issues of immediate importance to working software developers: achieving high performance, maintaining competitiveness, analyzing CUDA benefits versus costs, and determining application lifespan. The book then details the thought behind CUDA and teaches how to create, analyze, and debug CUDA applications. Throughout, the focus is on software engineering issues: how to use CUDA in the context of existing application code, with existing compilers, languages, software tools, and industry-standard API libraries. Using an approach refined in a series of well-received articles at Dr Dobb's Journal, author Rob Farber takes the reader step-by-step from fundamentals to implementation, moving from language theory to practical coding.