CUDA application design and development /:
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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Waltham, MA :
Morgan Kaufmann,
©2012.
|
| Schriftenreihe: | Applications of GPU computing.
|
| Schlagworte: | |
| Online-Zugang: | Volltext Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 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. |
| Beschreibung: | 1 online resource (1 online resource) |
| Bibliographie: | Includes bibliographical references (pages 303-309) and index. |
| ISBN: | 9780123884268 0123884268 9780123884329 0123884322 1283299038 9781283299039 9786613299031 6613299030 |
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| contents | 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. |
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| discipline | Informatik |
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| id | ZDB-4-EBA-ocn760157354 |
| illustrated | Not Illustrated |
| indexdate | 2024-10-25T16:18:22Z |
| institution | BVB |
| isbn | 9780123884268 0123884268 9780123884329 0123884322 1283299038 9781283299039 9786613299031 6613299030 |
| language | English |
| oclc_num | 760157354 |
| open_access_boolean | |
| owner | MAIN |
| owner_facet | MAIN |
| physical | 1 online resource (1 online resource) |
| psigel | ZDB-4-EBA |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | Morgan Kaufmann, |
| record_format | marc |
| series | Applications of GPU computing. |
| series2 | Applications of GPU computing series |
| spelling | Farber, Rob. https://id.oclc.org/worldcat/entity/E39PCjHjWMc8kwTWPHM8mfDWH3 http://id.loc.gov/authorities/names/n2011073346 CUDA application design and development / Rob Farber. Waltham, MA : Morgan Kaufmann, ©2012. 1 online resource (1 online resource) text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Applications of GPU computing series 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. 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. 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. Print version record. Includes bibliographical references (pages 303-309) and index. English. Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Computer architecture. http://id.loc.gov/authorities/subjects/sh85029479 Parallel programming (Computer science) http://id.loc.gov/authorities/subjects/sh85097827 Logiciels d'application Développement. Ordinateurs Architecture. Programmation parallèle (Informatique) COMPUTERS Software Development & Engineering Project Management. bisacsh Application software Development fast Computer architecture fast Parallel programming (Computer science) fast has work: CUDA application design and development (Text) https://id.oclc.org/worldcat/entity/E39PCFTXMBkWgpqXbBq6gMdBbm https://id.oclc.org/worldcat/ontology/hasWork Print version: Farber, Rob. CUDA application design and development. Waltham, MA : Morgan Kaufmann, ©2012 9780123884268 (DLC) 2011038617 (OCoLC)731925404 Applications of GPU computing. http://id.loc.gov/authorities/names/no2011079368 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=453849 Volltext CBO01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=453849 Volltext FWS01 ZDB-4-EBA FWS_PDA_EBA https://www.sciencedirect.com/science/book/9780123884268 Volltext CBO01 ZDB-4-EBA FWS_PDA_EBA https://www.sciencedirect.com/science/book/9780123884268 Volltext |
| spellingShingle | Farber, Rob CUDA application design and development / Applications of GPU computing. 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. Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Computer architecture. http://id.loc.gov/authorities/subjects/sh85029479 Parallel programming (Computer science) http://id.loc.gov/authorities/subjects/sh85097827 Logiciels d'application Développement. Ordinateurs Architecture. Programmation parallèle (Informatique) COMPUTERS Software Development & Engineering Project Management. bisacsh Application software Development fast Computer architecture fast Parallel programming (Computer science) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh95009362 http://id.loc.gov/authorities/subjects/sh85029479 http://id.loc.gov/authorities/subjects/sh85097827 |
| title | CUDA application design and development / |
| title_auth | CUDA application design and development / |
| title_exact_search | CUDA application design and development / |
| title_full | CUDA application design and development / Rob Farber. |
| title_fullStr | CUDA application design and development / Rob Farber. |
| title_full_unstemmed | CUDA application design and development / Rob Farber. |
| title_short | CUDA application design and development / |
| title_sort | cuda application design and development |
| topic | Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Computer architecture. http://id.loc.gov/authorities/subjects/sh85029479 Parallel programming (Computer science) http://id.loc.gov/authorities/subjects/sh85097827 Logiciels d'application Développement. Ordinateurs Architecture. Programmation parallèle (Informatique) COMPUTERS Software Development & Engineering Project Management. bisacsh Application software Development fast Computer architecture fast Parallel programming (Computer science) fast |
| topic_facet | Application software Development. Computer architecture. Parallel programming (Computer science) Logiciels d'application Développement. Ordinateurs Architecture. Programmation parallèle (Informatique) COMPUTERS Software Development & Engineering Project Management. Application software Development Computer architecture |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=453849 https://www.sciencedirect.com/science/book/9780123884268 |
| work_keys_str_mv | AT farberrob cudaapplicationdesignanddevelopment |