Accelerating MATLAB with GPU computing :: a primer with examples /
"Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successf...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam :
Morgan Kaufmann/Elsevier,
2014.
|
| Ausgabe: | First edition. |
| Schlagworte: | |
| Online-Zugang: | Volltext Volltext |
| Zusammenfassung: | "Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, it then guides users through advanced topics such as CUDA libraries. The authors share their experience developing algorithms using MATLAB, C++ and GPUs for huge datasets, modifying MATLAB codes to better utilize the computational power of GPUs, and integrating them into commercial software products. Throughout the book, they demonstrate many example codes that can be used as templates of C-MEX and CUDA codes for readers' projects. Download example codes from the publisher's website: http://booksite.elsevier.com/9780124080805/ Shows how to accelerate MATLAB codes through the GPU for parallel processing, with minimal hardware knowledge -- Explains the related background on hardware, architecture and programming for ease of use -- Provides simple worked examples of MATLAB and CUDA C codes as well as templates that can be reused in real-world projects."--Provided by publisher |
| Beschreibung: | 1 online resource (x, 248 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 243-244) and index. |
| ISBN: | 9780124079168 0124079164 0124080804 9780124080805 |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-ocn872703168 |
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| _version_ | 1816882264008556545 |
| adam_text | |
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| author | Suh, Jung W. Kim, Youngmin |
| author_facet | Suh, Jung W. Kim, Youngmin |
| author_role | aut aut |
| author_sort | Suh, Jung W. |
| author_variant | j w s jw jws y k yk |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
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| contents | Accelerating MATLAB without GPU -- Configurations for MATLAB and CUDA -- Optimization planning through profiling -- CUDA coding with c-mex -- MATLAB and parallel computing toolbox -- Using CUDA-accelerated libraries -- Example in computer graphics -- CUDA conversion example : 3D image processing. |
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| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.4 |
| dewey-search | 519.4 |
| dewey-sort | 3519.4 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| edition | First edition. |
| format | Electronic eBook |
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| publisher | Morgan Kaufmann/Elsevier, |
| record_format | marc |
| spelling | Suh, Jung W., author. Accelerating MATLAB with GPU computing : a primer with examples / Jung W. Suh, Youngmin Kim. First edition. Amsterdam : Morgan Kaufmann/Elsevier, 2014. ©2014 1 online resource (x, 248 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references (pages 243-244) and index. Accelerating MATLAB without GPU -- Configurations for MATLAB and CUDA -- Optimization planning through profiling -- CUDA coding with c-mex -- MATLAB and parallel computing toolbox -- Using CUDA-accelerated libraries -- Example in computer graphics -- CUDA conversion example : 3D image processing. "Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, it then guides users through advanced topics such as CUDA libraries. The authors share their experience developing algorithms using MATLAB, C++ and GPUs for huge datasets, modifying MATLAB codes to better utilize the computational power of GPUs, and integrating them into commercial software products. Throughout the book, they demonstrate many example codes that can be used as templates of C-MEX and CUDA codes for readers' projects. Download example codes from the publisher's website: http://booksite.elsevier.com/9780124080805/ Shows how to accelerate MATLAB codes through the GPU for parallel processing, with minimal hardware knowledge -- Explains the related background on hardware, architecture and programming for ease of use -- Provides simple worked examples of MATLAB and CUDA C codes as well as templates that can be reused in real-world projects."--Provided by publisher Print version record. MATLAB. http://id.loc.gov/authorities/names/n92036881 MATLAB fast Graphics processing units. http://id.loc.gov/authorities/subjects/sh2009010908 Numerical analysis Data processing. Mathematics. http://id.loc.gov/authorities/subjects/sh85082139 Electronic Data Processing https://id.nlm.nih.gov/mesh/D001330 Software https://id.nlm.nih.gov/mesh/D012984 Statistics methods. Datasets. Mathematics https://id.nlm.nih.gov/mesh/D008433 Processeurs graphiques. Analyse numérique Informatique. Informatique. Logiciels. Mathématiques. software. aat COMPUTERS General. bisacsh Graphics processing units fast Numerical analysis Data processing fast Mathematics. ukslc Internet Resources. Kim, Youngmin, author. Print version: Suh, Jung W. Accelerating MATLAB with GPU computing. First edition. 0124080804 9780124080805 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=503587 Volltext FWS01 ZDB-4-EBA FWS_PDA_EBA https://www.sciencedirect.com/science/book/9780124080805 Volltext |
| spellingShingle | Suh, Jung W. Kim, Youngmin Accelerating MATLAB with GPU computing : a primer with examples / Accelerating MATLAB without GPU -- Configurations for MATLAB and CUDA -- Optimization planning through profiling -- CUDA coding with c-mex -- MATLAB and parallel computing toolbox -- Using CUDA-accelerated libraries -- Example in computer graphics -- CUDA conversion example : 3D image processing. MATLAB. http://id.loc.gov/authorities/names/n92036881 MATLAB fast Graphics processing units. http://id.loc.gov/authorities/subjects/sh2009010908 Numerical analysis Data processing. Mathematics. http://id.loc.gov/authorities/subjects/sh85082139 Electronic Data Processing https://id.nlm.nih.gov/mesh/D001330 Software https://id.nlm.nih.gov/mesh/D012984 Statistics methods. Datasets. Mathematics https://id.nlm.nih.gov/mesh/D008433 Processeurs graphiques. Analyse numérique Informatique. Informatique. Logiciels. Mathématiques. software. aat COMPUTERS General. bisacsh Graphics processing units fast Numerical analysis Data processing fast Mathematics. ukslc |
| subject_GND | http://id.loc.gov/authorities/names/n92036881 http://id.loc.gov/authorities/subjects/sh2009010908 http://id.loc.gov/authorities/subjects/sh85082139 https://id.nlm.nih.gov/mesh/D001330 https://id.nlm.nih.gov/mesh/D012984 https://id.nlm.nih.gov/mesh/D008433 |
| title | Accelerating MATLAB with GPU computing : a primer with examples / |
| title_auth | Accelerating MATLAB with GPU computing : a primer with examples / |
| title_exact_search | Accelerating MATLAB with GPU computing : a primer with examples / |
| title_full | Accelerating MATLAB with GPU computing : a primer with examples / Jung W. Suh, Youngmin Kim. |
| title_fullStr | Accelerating MATLAB with GPU computing : a primer with examples / Jung W. Suh, Youngmin Kim. |
| title_full_unstemmed | Accelerating MATLAB with GPU computing : a primer with examples / Jung W. Suh, Youngmin Kim. |
| title_short | Accelerating MATLAB with GPU computing : |
| title_sort | accelerating matlab with gpu computing a primer with examples |
| title_sub | a primer with examples / |
| topic | MATLAB. http://id.loc.gov/authorities/names/n92036881 MATLAB fast Graphics processing units. http://id.loc.gov/authorities/subjects/sh2009010908 Numerical analysis Data processing. Mathematics. http://id.loc.gov/authorities/subjects/sh85082139 Electronic Data Processing https://id.nlm.nih.gov/mesh/D001330 Software https://id.nlm.nih.gov/mesh/D012984 Statistics methods. Datasets. Mathematics https://id.nlm.nih.gov/mesh/D008433 Processeurs graphiques. Analyse numérique Informatique. Informatique. Logiciels. Mathématiques. software. aat COMPUTERS General. bisacsh Graphics processing units fast Numerical analysis Data processing fast Mathematics. ukslc |
| topic_facet | MATLAB. MATLAB Graphics processing units. Numerical analysis Data processing. Mathematics. Electronic Data Processing Software Statistics methods. Datasets. Mathematics Processeurs graphiques. Analyse numérique Informatique. Informatique. Logiciels. Mathématiques. software. COMPUTERS General. Graphics processing units Numerical analysis Data processing Internet Resources. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=503587 https://www.sciencedirect.com/science/book/9780124080805 |
| work_keys_str_mv | AT suhjungw acceleratingmatlabwithgpucomputingaprimerwithexamples AT kimyoungmin acceleratingmatlabwithgpucomputingaprimerwithexamples |