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UID:DSC-8980
DTSTART;TZID=Europe/Berlin:20150318T150000
SEQUENCE:1426176289
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20150318T160000
URL:https://www.dresden-science-calendar.de/calendar/de/detail/8980
LOCATION:TUD Barkhausen-Bau\, Helmholtzstraße 1801087 Dresden
SUMMARY:Dimic: An Introduction to Data-flow Computing with Examples
CLASS:PUBLIC
DESCRIPTION:Speaker: Dr. Goran Dimic\nInstitute of Speaker: University of B
 elgrade Institute Mihailo Pupin\nTopics:\nInformatik\, Elektro- u. Informa
 tionstechnik\n Location:\n  Name: TUD Barkhausen-Bau (BAR I/15)\n  Street:
  Helmholtzstraße 18\n  City: 01087 Dresden\n  Phone: \n  Fax: \nDescripti
 on: This presentation provides an introduction to data-flow computing\, sh
 ows its advantages and limitations\, and describes the related programming
  model.   For certain classes of algorithms and large data sets\, data-flo
 w computers\, compared to control-flow computers\, enable trade-off of the
  following benefits: speed-ups of 20 to 200 times\, power reductions of ab
 out 20 times\, and size reductions of about 20 times.   However\, the data
 -flow programming paradigm is different\, and has a steep learning curve. 
   The talk explains the paradigm\, using Maxeler as an example\, and sheds
  light on the ongoing research in the field. Examples of data-flow applica
 tions include seismic imaging\, genetic mapping\, weather simulation\, etc
 . The talk also briefs on the programming in space\, which is the programm
 ing paradigm used for the Maxeler data-flow machines. Some limitations of 
 the data-flow paradigm are shown through a brief discussion of data-flow i
 mplementation of matrix multiplication.
DTSTAMP:20261013T001335Z
CREATED:20150312T160357Z
LAST-MODIFIED:20150312T160449Z
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