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01939cam a2200373ua 4500 |
| 001 |
17006181 |
| 005 |
20191212161758.0 |
| 008 |
130911s2011 maua b 001 0 eng |
| 010 |
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|a 2011038617
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| 016 |
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|2 Uk
|a 015873850
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| 020 |
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|a 0123884268 (pbk.)
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| 020 |
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|a 9780123884268 (pbk.)
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| 035 |
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|a (OCoLC)ocn731925404
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| 040 |
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|a DLC
|c DLC
|d YDX
|d BTCTA
|d UKMGB
|d YDXCP
|d BWX
|d CDX
|d DLC
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| 042 |
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|a pcc
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| 050 |
0 |
0 |
|a QA76.76.A65
|b F37 2011
|
| 082 |
|
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|2 23
|a 005.3
|
| 100 |
|
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|a Farber, Rob.
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| 245 |
|
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|a CUDA application design and development /
|c Rob Farber.
|h Textual Documents
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| 260 |
|
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|a Waltham, MA :
|b Morgan Kaufmann,
|c c2011.
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| 300 |
|
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|a xvii, 315 p. :
|b ill. ;
|c 24 cm.
|
| 490 |
|
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|a Applications of GPU computing series
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| 500 |
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|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.
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| 650 |
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|a Application software
|x Development.
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| 650 |
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0 |
|a Computer architecture.
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| 650 |
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0 |
|a Parallel programming (Computer science)
|
| 830 |
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0 |
|a Applications of GPU computing.
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| 852 |
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|a acquire
|b 2 shelf copies
|x policy default
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| 942 |
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|c BK
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| 955 |
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|a xn01 2012-01-11 1 copy rec`d., to CIP ver.
|b xh00 2011-10-19
|f xj05 2012-01-17 Z-CipVer telework
|i xh07 2011-10-19 ONIX to Dewey
|t rf18 2012-03-21 copy 2 added
|w rd14 2011-10-19
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