| Record ID | marc_loc_2016/BooksAll.2016.part41.utf8:324606298:1516 |
| Source | Library of Congress |
| Download Link | /show-records/marc_loc_2016/BooksAll.2016.part41.utf8:324606298:1516?format=raw |
LEADER: 01516cam a22003617i 4500
001 2014453529
003 DLC
005 20150128084302.0
008 150127s2014 ne a b 001 0 eng d
010 $a 2014453529
016 7 $a016494010$2Uk
020 $a0124080804 (pbk.)
020 $a9780124080805 (pbk.)
035 $a(OCoLC)ocn869516305
040 $aCDX$beng$erda$cCDX$dOCLCQ$dYDXCP$dNJI$dBTCTA$dUKMGB$dIOG$dCUI$dIXA$dOCLCQ$dDLC
042 $alccopycat
050 00 $aQA297$b.S8455 2014
082 04 $a518.0
100 1 $aSuh, Jung W.$q(Jung Wook)
245 10 $aAccelerating MATLAB with GPU computing :$ba primer with examples /$cJung W. Suh, Youngmin Kim.
250 $aFirst edition.
264 1 $aAmsterdam ;$aBoston :$bElsevier/Morgan Kaufmann,$c2014.
300 $ax, 248 pages :$billustrations ;$c23 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
504 $aIncludes bibliographical references (pages 243-244) and index.
505 0 $aAccelerating 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.
630 00 $aMATLAB.
650 0 $aNumerical analysis$xComputer programs.
650 0 $aGraphics processing units$xProgramming.
650 7 $aMathematics.$2ukslc
700 1 $aKim, Youngmin.