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Evaluating the Trade-Offs in the Parallelization of Probabilistic Search Algorithms (1997)  (Make Corrections)  (1 citation)
R. L. Carceroni, W. Meira, Jr., R. Stets, S. Dwarkadas



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Abstract: In this work, we propose a speculative parallelization strategy for Probabilistic Search algorithms. We design a parallel version of one such algorithm for a real--time computer vision problem with many practical applications. The implementation is performed on a cluster of eight DEC AlphaServer 2100 4/233 machines connected via a DEC Memory Channel network. Four types of run--time systems are tested: Hardware--coherent Shared Memory (HSM), Distributed Shared Memory (DSM) with software... (Update)

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.... we designed and analyzed the performance of a parallel real time probabilistic search algorithm to solve the correspondence problem [2]. We also have a preliminary implementation of a parallel object recognition algorithm. The object recognition system uses a multi gigabyte...

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BibTeX entry:   (Update)

R. L. Carceroni, W. Meira, R. Stets, and S. Dwarkadas. Evaluating the trade-offs in the parallelization of probabilistic search algorithms. In Proceedings of the 9th Brazilian Symposium on Computer Architecture and High Performance Processing, October 1997. http://citeseer.ist.psu.edu/carceroni97evaluating.html   More

@misc{ carceroni97evaluating,
  author = "R. Carceroni and W. Meira and R. Stets and S. Dwarkadas",
  title = "Evaluating the trade-offs in the parallelization of probabilistic search
    algorithms",
  text = "R. L. Carceroni, W. Meira, R. Stets, and S. Dwarkadas. Evaluating the trade-offs
    in the parallelization of probabilistic search algorithms. In Proceedings
    of the 9th Brazilian Symposium on Computer Architecture and High Performance
    Processing, October 1997.",
  year = "1997",
  url = "citeseer.ist.psu.edu/carceroni97evaluating.html" }
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