Citation
Jeronimo Castrillon. "Analysis and software synthesis of KPN applications". Talk or presentation, 22, October, 2015.

Abstract
Programming models based on dataflow or process networks are a good match for streaming applications, common in the signal processing, multimedia and automotive domains. In such models, parallelism is expressed explicitly which makes them well-suited for programming parallel machines. Since today’s applications are no longer static, expressive programming models are needed, such as those based on Kahn Process Networks (KPNs). In these models, tasks cannot be handled as black boxes, but have to be analyzed, profiled and traced to characterize their behavior. This is especially important in the case of heterogenous platforms with many processors of multiple different types. This presentation describes a tool flow to handle KPN applications and gives insights into mapping algorithms for heterogeneous platforms.

Electronic downloads

• seminar.2015-10-22.Jeronimo_Castrillon.pdf · application/pdf · 3848 kbytes

• HTML

  Jeronimo Castrillon. <a
  href="http://chess.eecs.berkeley.edu/pubs/1146.html"
  ><i>Analysis and software synthesis of KPN
  applications</i></a>, Talk or presentation,  22,
  October, 2015.

• Plain text

  Jeronimo Castrillon. "Analysis and software synthesis
  of KPN applications". Talk or presentation,  22,
  October, 2015.

• BibTeX

  @presentation{Castrillon15_AnalysisSoftwareSynthesisOfKPNApplications,
      author = {Jeronimo Castrillon},
      title = {Analysis and software synthesis of KPN applications},
      day = {22},
      month = {October},
      year = {2015},
      abstract = {Programming models based on dataflow or process
                networks are a good match for streaming
                applications, common in the signal processing,
                multimedia and automotive domains. In such models,
                parallelism is expressed explicitly which makes
                them well-suited for programming parallel
                machines. Since today’s applications are no
                longer static, expressive programming models are
                needed, such as those based on Kahn Process
                Networks (KPNs). In these models, tasks cannot be
                handled as black boxes, but have to be analyzed,
                profiled and traced to characterize their
                behavior. This is especially important in the case
                of heterogenous platforms with many processors of
                multiple different types. This presentation
                describes a tool flow to handle KPN applications
                and gives insights into mapping algorithms for
                heterogeneous platforms.},
      URL = {http://chess.eecs.berkeley.edu/pubs/1146.html}
  }
  

Posted by Sadigh Dorsa on 26 Oct 2015.
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