LEADER 00857nam0-22003011i-450- 001 990006656000403321 005 20001010 035 $a000665600 035 $aFED01000665600 035 $a(Aleph)000665600FED01 035 $a000665600 100 $a20001010d--------km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aBoicottaggio e rifiuto di contrattare$fPiergaetano Marchetti 210 $aPadova$cCedam$d1969 215 $a485 p.$d22 cm 225 1 $aStudi di diritto privato italiano e straniero$iNuova serie$v13 300 $a 700 1$aMarchetti,$bPiergaetano$0229120 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006656000403321 952 $aCOLLEZ. 30 (13)$b13489$fFSPBC 959 $aFSPBC 996 $aBoicottaggio e rifiuto di contrattare$967038 997 $aUNINA DB $aGEN01 LEADER 01721nam 2200409z- 450 001 9910346721503321 005 20210211 010 $a1000054019 035 $a(CKB)4920000000094486 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/49821 035 $a(oapen)doab49821 035 $a(EXLCZ)994920000000094486 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aIdentifying and Harnessing Concurrency for Parallel and Distributed Network Simulation 210 $cKIT Scientific Publishing$d2016 215 $a1 online resource (XI, 147 p. p.) 311 08$a3-7315-0511-8 330 $aAlthough computer networks are inherently parallel systems, the parallel execution of network simulations on interconnected processors frequently yields only limited benefits. In this thesis, methods are proposed to estimate and understand the parallelization potential of network simulations. Further, mechanisms and architectures for exploiting the massively parallel processing resources of modern graphics cards to accelerate network simulations are proposed and evaluated. 610 $aGPU 610 $aGPUSimulation 610 $aNetwork Simulation 610 $aNetworks 610 $aNetzwerke 610 $aNetzwerksimulation 610 $aParallelisierung 610 $aParallelization 610 $aSimulation 700 $aAndelfinger$b Philipp Josef$4auth$01328718 906 $aBOOK 912 $a9910346721503321 996 $aIdentifying and Harnessing Concurrency for Parallel and Distributed Network Simulation$93038865 997 $aUNINA