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