LEADER 01796oam 2200469zu 450 001 9910872429203321 005 20241212215313.0 035 $a(CKB)1000000000022234 035 $a(SSID)ssj0000395097 035 $a(PQKBManifestationID)12155829 035 $a(PQKBTitleCode)TC0000395097 035 $a(PQKBWorkID)10425727 035 $a(PQKB)10131694 035 $a(EXLCZ)991000000000022234 100 $a20160829d2004 uy 101 0 $aeng 181 $ctxt 182 $cc 183 $acr 200 10$a2004 IEEE International Symposium on Industrial Electronics : proceedings of the IEEE-ISIE 2004 : May 4-7, 2004, Palais des Congrès & Expositions, Ajaccio - France 210 31$a[Place of publication not identified]$cIEEE$d2004 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9780780383043 311 08$a0780383044 606 $aIndustrial electronics$xAutomation$vCongresses 606 $aManufacturing processes$vCongresses 606 $aElectrical & Computer Engineering$2HILCC 606 $aElectrical Engineering$2HILCC 606 $aEngineering & Applied Sciences$2HILCC 615 0$aIndustrial electronics$xAutomation 615 0$aManufacturing processes 615 7$aElectrical & Computer Engineering 615 7$aElectrical Engineering 615 7$aEngineering & Applied Sciences 676 $a670.42 712 02$aInstitute of Electrical and Electronics Engineers 712 12$aIEEE International Symposium on Industrial Electronics 801 0$bPQKB 906 $aPROCEEDING 912 $a9910872429203321 996 $a2004 IEEE International Symposium on Industrial Electronics : proceedings of the IEEE-ISIE 2004 : May 4-7, 2004, Palais des Congrès & Expositions, Ajaccio - France$92527331 997 $aUNINA LEADER 04512nam 22006615 450 001 9910483607103321 005 20250610110142.0 010 $a3-030-43736-1 024 7 $a10.1007/978-3-030-43736-7 035 $a(CKB)4100000011343516 035 $a(DE-He213)978-3-030-43736-7 035 $a(MiAaPQ)EBC6268602 035 $a(PPN)259391204 035 $a(MiAaPQ)EBC6265033 035 $a(MiAaPQ)EBC29092982 035 $a(EXLCZ)994100000011343516 100 $a20200706d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aParallel Algorithms in Computational Science and Engineering /$fedited by Ananth Grama, Ahmed H. Sameh 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Birkhäuser,$d2020. 215 $a1 online resource (XII, 417 p. 189 illus., 159 illus. in color.) 225 1 $aModeling and Simulation in Science, Engineering and Technology,$x2164-3725 311 08$a3-030-43735-3 327 $aState-of-the-Art Sparse Direct Solvers -- The Effect of Various Sparsity Structures on Parallelism and Algorithms to Reveal Those Structures -- Structure-Exploiting Interior Point Methods -- Parallel Hybrid Sparse Linear System Solvers -- Computational Material Science and Engineering -- Computational Cardiovascular Analysis with the Variational Multiscale Methods and Isogeometric Discretization -- ALE and Space-Time Variational Multiscale Isogeometric Analysis of Wind Turbines and Turbomachinery -- Variational Multiscale Flow Analysis in Aerospace, Energy, and Transportation Technologies -- Multiscale Crowd Dynamics Modeling and Safety Problems Towards Parallel Computing -- HPC for Weather Forecasting -- A Simple Study of Pleasing Parallelism on Multicore Computers -- Parallel Fast Time-Domain Integral-Equation Methods for Transient Electromagnetism Analysis -- Parallel Optimization Techniques for Machine Learning. 330 $aThis contributed volume highlights two areas of fundamental interest in high-performance computing: core algorithms for important kernels and computationally demanding applications. The first few chapters explore algorithms, numerical techniques, and their parallel formulations for a variety of kernels that arise in applications. The rest of the volume focuses on state-of-the-art applications from diverse domains. By structuring the volume around these two areas, it presents a comprehensive view of the application landscape for high-performance computing, while also enabling readers to develop new applications using the kernels. Readers will learn how to choose the most suitable parallel algorithms for any given application, ensuring that theory and practicality are clearly connected. Applications using these techniques are illustrated in detail, including: Computational materials science and engineering Computational cardiovascular analysis Multiscale analysis of wind turbines and turbomachinery Weather forecasting Machine learning techniques Parallel Algorithms in Computational Science and Engineering will be an ideal reference for applied mathematicians, engineers, computer scientists, and other researchers who utilize high-performance computing in their work. 410 0$aModeling and Simulation in Science, Engineering and Technology,$x2164-3725 606 $aMathematics$xData processing 606 $aAlgebras, Linear 606 $aComputer science$xMathematics 606 $aNumerical analysis 606 $aComputational Science and Engineering 606 $aLinear Algebra 606 $aMathematical Applications in Computer Science 606 $aNumerical Analysis 615 0$aMathematics$xData processing. 615 0$aAlgebras, Linear. 615 0$aComputer science$xMathematics. 615 0$aNumerical analysis. 615 14$aComputational Science and Engineering. 615 24$aLinear Algebra. 615 24$aMathematical Applications in Computer Science. 615 24$aNumerical Analysis. 676 $a004.35 676 $a004.11 702 $aGrama$b Ananth$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSameh$b Ahmed H$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483607103321 996 $aParallel Algorithms in Computational Science and Engineering$92301703 997 $aUNINA