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UID:submissions.supercomputing.org_SC22_sess274_rpost168@linklings.com
SUMMARY:Traffic Flow Optimization in Smart Cities:  Leveraging HPC Resourc
 es for Automatic Design Space Exploration
DESCRIPTION:Posters, Research Posters\n\nTraffic Flow Optimization in Smar
 t Cities:  Leveraging HPC Resources for Automatic Design Space Exploration
 \n\nŠurkovský, Beránek, Slaninová, Martinovič, Cmar\n\nThe poster presents
  the usage of a deterministic traffic simulator for optimizing traffic flo
 w within a city. The simulator is one part of a traffic modeling framework
  for intelligent transportation in smart cities. In contrast to standard n
 avigation systems where the navigation is optimized for drivers, we aim to
  optimize a distribution of the global traffic flow. We utilize HPC resour
 ces for the simulator’s parameters exploration for which EVEREST SDK is us
 ed.\n \nThe EVEREST project aims at developing a holistic design environme
 nt that addresses simplifying the programmability of heterogeneous and dis
 tributed architectures for Big Data applications. The project uses “data-d
 riven” design approach with domain-specific language extensions, hardware-
 accelerated AI and an efficient monitoring of the execution with a unified
  hardware/software paradigm. During the presentation the distribution of t
 raffic flow in a selected city will be presented in a form of short video 
 to demonstrate the dynamicity of the system.\n\nRegistration Category: Tec
 h Program Reg Pass, Exhibits Reg Pass
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