LEADER 02015oam  2200433   450 
001 9910819452103321
005 20190911100030.0
010   $a0-12-416972-4
035   $a(OCoLC)859156007
035   $a(MiFhGG)GVRL8BLQ
035   $a(EXLCZ)992550000001118046
100   $a20130621d2014      uy             0
101 0 $aeng
135   $aurun|---uuuua
181   $ctxt
182   $cc
183   $acr
200 10$aCUDA Fortran for scientists and engineers $ebest practices for efficient CUDA Fortran programming /$fGregory Ruetsch and Massimiliano Fatica
205   $a1st ed.
210  1$aWaltham, MA :$cMorgan Kaufmann,$d2014.
215   $a1 online resource (xiii, 323 pages) $cillustrations (some color)
225 0 $aGale eBooks
300   $aDescription based upon print version of record.
311   $a0-12-416970-8 
311   $a1-299-87152-6 
320   $aIncludes bibliographical references and index.
327   $apart I. CUDA Fortran programming -- part II. Case studies -- part III. Appendices.
330   $aCUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran.    To help you add CUDA Fortran to existing Fortran codes, the book explains how to understand the target GPU architecture, identify computationally intensive parts of the code, and modify the code to m
606   $aFORTRAN (Computer program language)
615  0$aFORTRAN (Computer program language)
676   $a005.13/1
700   $aRuetsch$b Gregory$01711390
702   $aFatica$b Massimiliano
801  0$bMiFhGG
801  1$bMiFhGG
906   $aBOOK
912   $a9910819452103321
996   $aCUDA Fortran for scientists and engineers$94102667
997   $aUNINA