Identifying and Harnessing Concurrency for Parallel and Distributed Network Simulation
Although 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. Furthe...
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Year of Publication: | 2016 |
Language: | English |
Physical Description: | 1 electronic resource (XI, 147 p. p.) |
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100 | 1 | |a Andelfinger, Philipp Josef |4 auth | |
245 | 1 | 0 | |a Identifying and Harnessing Concurrency for Parallel and Distributed Network Simulation |
260 | |b KIT Scientific Publishing |c 2016 | ||
300 | |a 1 electronic resource (XI, 147 p. p.) | ||
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520 | |a Although 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. | ||
546 | |a English | ||
653 | |a Networks | ||
653 | |a Network Simulation | ||
653 | |a Simulation | ||
653 | |a Netzwerksimulation | ||
653 | |a Parallelisierung | ||
653 | |a GPU | ||
653 | |a Netzwerke | ||
653 | |a Parallelization | ||
653 | |a GPUSimulation | ||
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