東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

CUDA application design and development

Farber, Rob.{me_controlnum}

Linked to FindBook

Google Book

Amazon

博客來

CUDA application design and development

Record Type:	Electronic resources : Monograph/item
Title/Author:	CUDA application design and development/ Rob Farber.
Author:	Farber, Rob.{me_controlnum}
Published:	Waltham, MA :Morgan Kaufmann, : c2012.,
Description:	1 online resource.
Notes:	Machine generated contents note: 1. How to think in CUDA 2. Tools to build, debug and profile 3. The GPU performance envelope 4. The CUDA memory subsystems 5. Exploiting the CUDA execution grid 6. MultiGPU applications and scaling 7. Numerical CUDA, libraries and high-level language bindings 8. Mixing CUDA with rendering 9. High Performance Machine Learning 10. Scientific Visualization 11. Multimedia with OpenCV 12. Ultra Low-power Devices: Tegra.
[NT 15003449]:	1. How to think in CUDA 2. Tools to build, debug and profile 3. The GPU performance envelope 4. The CUDA memory subsystems 5. Exploiting the CUDA execution grid 6. MultiGPU applications and scaling 7. Numerical CUDA, libraries and high-level language bindings 8. Mixing CUDA with rendering 9. High Performance Machine Learning 10. Scientific Visualization 11. Multimedia with OpenCV 12. Ultra Low-power Devices: Tegra.
Subject:	Application software - Development. -
Online resource:	http://www.sciencedirect.com/science/book/9780123884268
ISBN:	9780123884268 (electronic bk.)

CUDA application design and development
Farber, Rob.{me_controlnum}

CUDA application design and development[electronic resource] /Rob Farber. - Waltham, MA :Morgan Kaufmann,c2012. - 1 online resource. - Applications of GPU computing series. - Applications of GPU computing..

Machine generated contents note: 1. How to think in CUDA 2. Tools to build, debug and profile 3. The GPU performance envelope 4. The CUDA memory subsystems 5. Exploiting the CUDA execution grid 6. MultiGPU applications and scaling 7. Numerical CUDA, libraries and high-level language bindings 8. Mixing CUDA with rendering 9. High Performance Machine Learning 10. Scientific Visualization 11. Multimedia with OpenCV 12. Ultra Low-power Devices: Tegra.

1. How to think in CUDA 2. Tools to build, debug and profile 3. The GPU performance envelope 4. The CUDA memory subsystems 5. Exploiting the CUDA execution grid 6. MultiGPU applications and scaling 7. Numerical CUDA, libraries and high-level language bindings 8. Mixing CUDA with rendering 9. High Performance Machine Learning 10. Scientific Visualization 11. Multimedia with OpenCV 12. Ultra Low-power Devices: Tegra.

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 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-threaded programming and the different memory hierarchy Includes teaching chapters designed to give a full understanding of CUDA tools, techniques and structure. Presents CUDA techniques in the context of the hardware they are implemented on as well as other styles of programming that will help readers bridge into the new material.

ISBN: 9780123884268 (electronic bk.)

Source: 1108042:11007121Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

539563
Application software
--Development.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QA76.76.A65 / F37 2012

Dewey Class. No.: 005.3

CUDA application design and development
LDR:04012cmm 2200373Ka 4500 001 1325712
005 20120813091342.0
006 m d
007 cr cn|||||||||
008 130122s2012 mau o 000 0 eng d
019 $a 763161237 $a 767519223
020 $a 9780123884268 (electronic bk.)
020 $a 0123884268 (electronic bk.)
020 $a 9780123884329 (electronic bk.)
020 $a 0123884322 (electronic bk.)
029 1 $a AU@ $b 000048718238
035 $a ocn760157354
037 $a 1108042:11007121 $b Elsevier Science & Technology $n http://www.sciencedirect.com
040 $a OPELS $b eng $c OPELS $d CDX $d OCLCQ $d E7B $d MYG $d N$T
049 $a NTYA
050 4 $a QA76.76.A65 $b F37 2012
072 7 $a COM $x 051430 $2 bisacsh
082 0 4 $a 005.3 $2 23
100 1 $a Farber, Rob.{me_controlnum} $3 1613690
245 1 0 $a CUDA application design and development $h [electronic resource] / $c Rob Farber.
260 $a Waltham, MA : $b Morgan Kaufmann, $c c2012.
300 $a 1 online resource.
490 1 $a Applications of GPU computing series
500 $a Machine generated contents note: 1. How to think in CUDA 2. Tools to build, debug and profile 3. The GPU performance envelope 4. The CUDA memory subsystems 5. Exploiting the CUDA execution grid 6. MultiGPU applications and scaling 7. Numerical CUDA, libraries and high-level language bindings 8. Mixing CUDA with rendering 9. High Performance Machine Learning 10. Scientific Visualization 11. Multimedia with OpenCV 12. Ultra Low-power Devices: Tegra.
505 0 $a 1. How to think in CUDA 2. Tools to build, debug and profile 3. The GPU performance envelope 4. The CUDA memory subsystems 5. Exploiting the CUDA execution grid 6. MultiGPU applications and scaling 7. Numerical CUDA, libraries and high-level language bindings 8. Mixing CUDA with rendering 9. High Performance Machine Learning 10. Scientific Visualization 11. Multimedia with OpenCV 12. Ultra Low-power Devices: Tegra.
520 $a 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 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-threaded programming and the different memory hierarchy Includes teaching chapters designed to give a full understanding of CUDA tools, techniques and structure. Presents CUDA techniques in the context of the hardware they are implemented on as well as other styles of programming that will help readers bridge into the new material.
588 $a Description based on print version record.
650 0 $a Application software $x Development. $3 539563
650 0 $a Computer architecture. $3 559837
650 0 $a Parallel programming (Computer science) $3 653949
650 7 $a COMPUTERS / Software Development & Engineering / Project Management $2 bisacsh $3 1613691
655 4 $a Electronic books. $2 lcsh $3 542853
776 0 8 $i Print version: $a Farber, Rob. $t CUDA application design and development. $d Waltham, MA : Morgan Kaufmann, c2012 $z 9780123884268 $w (DLC) 2011038617 $w (OCoLC)731925404
830 0 $a Applications of GPU computing. $3 1329098
856 4 0 $3 ScienceDirect $u http://www.sciencedirect.com/science/book/9780123884268
938 $a Coutts Information Services $b COUT $n 19726636
938 $a ebrary $b EBRY $n ebr10506463