LEADER 02470nam 2200589 450 001 9910452890303321 005 20200520144314.0 010 $a0-12-416972-4 035 $a(CKB)2550000001118046 035 $a(EBL)1397783 035 $a(SSID)ssj0000999690 035 $a(PQKBManifestationID)11581916 035 $a(PQKBTitleCode)TC0000999690 035 $a(PQKBWorkID)10943624 035 $a(PQKB)11482841 035 $a(MiAaPQ)EBC1397783 035 $a(CaSebORM)9780124169708 035 $a(Au-PeEL)EBL1397783 035 $a(CaPaEBR)ebr10762989 035 $a(CaONFJC)MIL518403 035 $a(OCoLC)873810477 035 $a(EXLCZ)992550000001118046 100 $a20130621h20142014 uy| 0 101 0 $aeng 135 $aur|n|---||||| 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 $a1st ed. 210 1$aAmsterdam :$cMorgan Kaufmann, an imprint of Elsevier,$d[2014] 210 4$dİ2014 215 $a1 online resource (339 p.) 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) 608 $aElectronic books. 615 0$aFORTRAN (Computer program language) 676 $a005.13/1 700 $aRuetsch$b Gregory$0957871 701 $aFatica$b Massimiliano$0957872 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910452890303321 996 $aCUDA Fortran for scientists and engineers$92170157 997 $aUNINA