Changes between Version 8 and Version 9 of ParallelTrafficViewSimulator


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Timestamp:
Dec 4, 2009, 3:46:12 PM (14 years ago)
Author:
sinziana.mazilu
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  • ParallelTrafficViewSimulator

    v8 v9  
    2020 * Dec 3  - write wiki project page; get familiar with HPC; create the SVN repository for the project 
    2121
     22== Project detail stuff ==
    2223 * [wiki:PTVS_Intro Introduction stuff]
     24 * [wiki:PTVS_Ideas Ideas and brainstorming]
     25 * [wiki:PTVS_Impl Implementation ideas]
    2326
    2427== What? ==
     28
     29The adoption of simulation techniques for the analysis of large-scale, dynamic and complex vehicular networks and related wireless communication-based services, creates severe problems in terms of simulation resources and simulation performance.
     30
     31In a simulation, the individual evolution of a massive number of entities, the dynamic correlation effects due to mobility and the local broadcast nature of the wireless signal propagation effects in urban scenarios greatly increase computational requirements.
     32
     33A sequential simulation of a real scenario with a large number of complex model entities (like vehicles running distributed services and their wireless communications) may become computationally infeasible on a single physical execution unit. This is why solutions based on parallel computing architectures like SIMD architectures have been considered, but they are usefull only for homogeneous models.
     34
     35Parallel and HPC architectures have high cost and require expertise in parallel programming to exploit the architecture potential. The Parallel and Distributed Simulation (PADS) exploit concurent computation over different execution units.
    2536
    2637== So What? ==
    … …  
    8192
    8293
    83 The adoption of simulation techniques for the analysis of large-scale, dynamic and complex vehicular networks and related wireless communication-based services, creates severe problems in terms of simulation resources and simulation performance.
    84 
    85 In a simulation, the individual evolution of a massive number of entities, the dynamic correlation effects due to mobility and the local broadcast nature of the wireless signal propagation effects in urban scenarios greatly increase computational requirements.
    86 
    87 A sequential simulation of a real scenario with a large number of complex model entities (like vehicles running distributed services and their wireless communications) may become computationally infeasible on a single physical execution unit. This is why solutions based on parallel computing architectures like SIMD architectures have been considered, but they are usefull only for homogeneous models.
    88 
    89 Parallel and HPC architectures have high cost and require expertise in parallel programming to exploit the architecture potential. The Parallel and Distributed Simulation (PADS) exploit concurent computation over different execution units.