LEADER 03816nam 2200649 a 450 001 9910483553603321 005 20200520144314.0 010 $a3-540-33498-X 024 7 $a10.1007/11558958 035 $a(CKB)1000000000232589 035 $a(SSID)ssj0000316279 035 $a(PQKBManifestationID)11247248 035 $a(PQKBTitleCode)TC0000316279 035 $a(PQKBWorkID)10275213 035 $a(PQKB)10835199 035 $a(DE-He213)978-3-540-33498-9 035 $a(MiAaPQ)EBC3067964 035 $a(PPN)123127653 035 $a(EXLCZ)991000000000232589 100 $a20060120d2006 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aApplied parallel computing $estate of the art in scientific computing : 7th international workshop, PARA 2004, Lyngby, Denmark, June 20-23, 2004 : revised selected papers /$fJack Dongarra, Kaj Madsen, Jerzy Wasniewski (eds.) 205 $a1st ed. 2006. 210 $aBerlin ;$aNew York $cSpringer$dc2006 215 $a1 online resource (XXII, 1174 p.) 225 1 $aLecture notes in computer science,$x0302-9743 ;$v3732 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-29067-2 320 $aIncludes bibliographical references and index. 327 $aInvited Talks -- Minisymposia -- Contributed Talks. 330 $aIntroduction The PARA workshops in the past were devoted to parallel computing methods in science and technology. There have been seven PARA meetings to date: PARA?94, PARA?95 and PARA?96 in Lyngby, Denmark, PARA?98 in Umea, ? Sweden, PARA 2000 in Bergen, N- way, PARA 2002 in Espoo, Finland, and PARA 2004 again in Lyngby, Denmark. The ?rst six meetings featured lectures in modern numerical algorithms, computer science, en- neering, and industrial applications, all in the context of scienti?c parallel computing. This meeting in the series, the PARA 2004 Workshop with the title ?State of the Art in Scienti?c Computing?, was held in Lyngby, Denmark, June 20?23, 2004. The PARA 2004 Workshop was organized by Jack Dongarra from the University of Tennessee and Oak Ridge National Laboratory, and Kaj Madsen and Jerzy Was Žniewski from the Technical University of Denmark. The emphasis here was shifted to high-performance computing (HPC). The ongoing development of ever more advanced computers provides the potential for solving increasingly dif?cult computational problems. However, given the complexity of modern computer architectures, the task of realizing this potential needs careful attention. For example, the failure to exploit a computer?s memory hi- archy can degrade performance badly. A main concern of HPC is the development of software that optimizes the performance of a given computer. The high cost of state-of-the-art computers can be prohibitive for many workplaces, especially if there is only an occasional need for HPC. 410 0$aLecture notes in computer science ;$v3732. 517 3 $aPARA 2004 606 $aParallel processing (Electronic computers)$vCongresses 606 $aScience$xData processing$vCongresses 606 $aTechnology$xData processing$vCongresses 606 $aHigh performance computing$vCongresses 615 0$aParallel processing (Electronic computers) 615 0$aScience$xData processing 615 0$aTechnology$xData processing 615 0$aHigh performance computing 676 $a004/.35 701 $aDongarra$b J. J$052003 701 $aMadsen$b Kaj$01231856 701 $aWasniewski$b Jerzy$f1931-$055319 712 12$aPARA 2004 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483553603321 996 $aApplied parallel computing$92860320 997 $aUNINA