LEADER 03907nam 2200589 450 001 9910797861003321 005 20200520144314.0 010 $a0-12-803820-9 035 $a(CKB)3710000000499941 035 $a(EBL)4085620 035 $a(SSID)ssj0001588375 035 $a(PQKBManifestationID)16272934 035 $a(PQKBTitleCode)TC0001588375 035 $a(PQKBWorkID)14871092 035 $a(PQKB)10518791 035 $a(Au-PeEL)EBL4085620 035 $a(CaPaEBR)ebr11120795 035 $a(CaONFJC)MIL850026 035 $a(OCoLC)936299921 035 $a(CaSebORM)9780128038208 035 $a(MiAaPQ)EBC4085620 035 $a(PPN)19242050X 035 $a(EXLCZ)993710000000499941 100 $a20150529h20162016 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aShared memory application programming $econcepts and strategies in multicore application programming /$fVictor Alessandrini 205 $aFirst edition. 210 1$aWaltham, MA :$cElsevier,$d[2016] 210 4$dİ2016 215 $a1 online resource (665 p.) 300 $aDescription based upon print version of record. 311 $a0-12-803761-X 320 $aIncludes bibliographical references and index. 330 $aShared Memory Application Programming presents the key concepts and applications of parallel programming, in an accessible and engaging style applicable to developers across many domains. Multithreaded programming is today a core technology, at the basis of all software development projects in any branch of applied computer science. This book guides readers to develop insights about threaded programming and introduces two popular platforms for multicore development: OpenMP and Intel Threading Building Blocks (TBB). Author Victor Alessandrini leverages his rich experience to explain each platform?s design strategies, analyzing the focus and strengths underlying their often complementary capabilities, as well as their interoperability. The book is divided into two parts: the first develops the essential concepts of thread management and synchronization, discussing the way they are implemented in native multithreading libraries (Windows threads, Pthreads) as well as in the modern C++11 threads standard. The second provides an in-depth discussion of TBB and OpenMP including the latest features in OpenMP 4.0 extensions to ensure readers? skills are fully up to date. Focus progressively shifts from traditional thread parallelism to modern task parallelism deployed by modern programming environments. Several chapter include examples drawn from a variety of disciplines, including molecular dynamics and image processing, with full source code and a software library incorporating a number of utilities that readers can adapt into their own projects. Designed to introduce threading and multicore programming to teach modern coding strategies for developers in applied computing Leverages author Victor Alessandrini's rich experience to explain each platform?s design strategies, analyzing the focus and strengths underlying their often complementary capabilities, as well as their interoperability Includes complete, up-to-date discussions of OpenMP 4.0 and TBB Based on the author?s training sessions, including information on source code and software libraries which can be repurposed 606 $aApplication software$xDevelopment 606 $aDistributed shared memory 606 $aComputer programming 615 0$aApplication software$xDevelopment. 615 0$aDistributed shared memory. 615 0$aComputer programming. 700 $aAlessandrini$b Victor$047973 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910797861003321 996 $aShared memory application programming$91497960 997 $aUNINA