| Description |
1 online resource (x, 248 pages) : illustrations (some color) |
|
text file |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
1. Accelerating MATLAB without GPU -- 2. Configurations for MATLAB and CUDA -- 3. Optimization planning through profiling -- 4. CUDA coding with c-mex -- 5. MATLAB and parallel computing toolbox -- 6. Using CUDA-accelerated libraries -- 7. Example in computer graphics -- 8. CUDA conversion example : 3D image processing. |
| Summary |
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, and provides simple worked examples of MATLAB and CUDA C codes as well as templates that can be reused in real-world projects. |
| Language |
English. |
| Subject |
MATLAB.
|
|
MATLAB. |
|
MATLAB |
|
Graphics processing units.
|
|
Numerical analysis -- Data processing.
|
|
Processeurs graphiques. |
|
Analyse numérique -- Informatique. |
|
Graphics processing units |
|
Numerical analysis -- Data processing |
|
Mathematics. |
| Added Author |
Kim, Youngmin (Professor), author.
|
| Other Form: |
Print version: Suh, Jung W. Accelerating MATLAB gpu. Amsterdam : Morgan Kaufmann/Elsevier, 2014 0124080804 (OCoLC)851417494 |
| ISBN |
9780124079168 |
|
0124079164 |
|
0124080804 |
|
9780124080805 |
|
1306154421 |
|
9781306154420 |
|
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