LEADER 04378nam 22008175 450 001 996465969303316 005 20230406065432.0 010 $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 $a20101026d2006 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aApplied Parallel Computing$b[electronic resource] $eState of the Art in Scientific Computing /$fedited by Jack Dongarra, Kaj Madsen, Jerzy Wasniewski 205 $a1st ed. 2006. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2006. 215 $a1 online resource (XXII, 1174 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$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 $aIntroduction The PARA workshops in the past were devoted to parallel computing methods in science and technology. There have been seven PARA meetings to date: PARA?94, PARA?95 and PARA?96 in Lyngby, Denmark, PARA?98 in Umea, ? Sweden, PARA 2000 in Bergen, N- way, PARA 2002 in Espoo, Finland, and PARA 2004 again in Lyngby, Denmark. The ?rst six meetings featured lectures in modern numerical algorithms, computer science, en- neering, and industrial applications, all in the context of scienti?c parallel computing. This meeting in the series, the PARA 2004 Workshop with the title ?State of the Art in Scienti?c Computing?, was held in Lyngby, Denmark, June 20?23, 2004. The PARA 2004 Workshop was organized by Jack Dongarra from the University of Tennessee and Oak Ridge National Laboratory, and Kaj Madsen and Jerzy Was Žniewski from the Technical University of Denmark. The emphasis here was shifted to high-performance computing (HPC). The ongoing development of ever more advanced computers provides the potential for solving increasingly dif?cult computational problems. However, given the complexity of modern computer architectures, the task of realizing this potential needs careful attention. For example, the failure to exploit a computer?s memory hi- archy can degrade performance badly. A main concern of HPC is the development of software that optimizes the performance of a given computer. The high cost of state-of-the-art computers can be prohibitive for many workplaces, especially if there is only an occasional need for HPC. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v3732 606 $aComputer systems 606 $aComputer science 606 $aSocial sciences 606 $aHumanities 606 $aComputer science?Mathematics 606 $aSoftware engineering 606 $aAlgorithms 606 $aComputer System Implementation 606 $aTheory of Computation 606 $aHumanities and Social Sciences 606 $aMathematics of Computing 606 $aSoftware Engineering 606 $aAlgorithms 615 0$aComputer systems. 615 0$aComputer science. 615 0$aSocial sciences. 615 0$aHumanities. 615 0$aComputer science?Mathematics. 615 0$aSoftware engineering. 615 0$aAlgorithms. 615 14$aComputer System Implementation. 615 24$aTheory of Computation. 615 24$aHumanities and Social Sciences. 615 24$aMathematics of Computing. 615 24$aSoftware Engineering. 615 24$aAlgorithms. 676 $a004/.35 702 $aDongarra$b Jack$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMadsen$b Kaj$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWasniewski$b Jerzy$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aPARA 2004 906 $aBOOK 912 $a996465969303316 996 $aApplied Parallel Computing$9772047 997 $aUNISA