| 000 | 01454nam a2200289 a 4500 | ||
|---|---|---|---|
| 001 | vtls000066932 | ||
| 003 | KUKTEM | ||
| 005 | 20251125093456.0 | ||
| 008 | 121127t2011 maua f 001 0 eng d | ||
| 020 | _a9780123884268 (pbk.) | ||
| 020 | _a0123884268 (pbk.) | ||
| 039 | 9 |
_a201306111429 _bsaini _y201211271135 _zida |
|
| 040 | _aUMP | ||
| 090 | _aQA76.76.A65 F37 2011 | ||
| 100 | 1 | _aFarber, Rob | |
| 245 | 1 | 0 |
_aCUDA application design and development / _cRob Farber |
| 260 |
_aWaltham, MA : _bMorgan Kaufmann, _c2011 |
||
| 300 |
_axvii, 315 p. : _bill. ; _c24 cm. |
||
| 490 | 1 | _aApplications of GPU computing series | |
| 500 | _aMachine 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 | ||
| 504 | _aIncludes bibliographical refrences and index | ||
| 650 | 0 |
_aApplication software _xDevelopment |
|
| 650 | 0 | _aComputer architecture | |
| 650 | 0 | _aParallel programming (Computer science) | |
| 830 | 0 | _aApplications of GPU computing | |
| 999 |
_aVIRTUA40 _c65131 _d65137 |
||
| 999 | _aVTLSSORT0080*0200*0201*0400*0900*1000*2450*2600*3000*4900*5000*5040*6500*6501*6502*8300*9992 | ||