DataFlow SuperComputing

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CIS Colloquium, Nov 20, 2014, 11:00AM – 12:00PM, SERC 306

DataFlow SuperComputing

Veljko Milutinovic , University of Belgrade

This presentation analyses the essence of DataFlow SuperComputing, defines its advantages and sheds light on the related programming model. DataFlow computers, compared to ControlFlow computers, offer speedups of 20 to 200 (even 2000 for some applications), power reductions of about 20, and size reductions of also about 20. However, the programming paradigm is different, and has to be mastered. The talk explains the paradigm, using Maxeler as an example, and sheds light on the ongoing research in the field. Examples include Physics, Engineering, DataMining, FinancialAnalytics, etc. Emphasis is on research done at the University of Belgrade. Given enough time, the talk also gives a tutorial about the programming in space, which is the programming paradigm used for the Maxeler dataflow machines.

Prof. Veljko Milutinovic received his PhD from the University of Belgrade, spent about a decade on various faculty positions in USA (mostly at Purdue University), and was a codesigner of the DARPAs first GaAs RISC microprocessor. Now he teaches and conducts research at the University of Belgrade, mostly in datamining and dataflow computing, with stress on simulations and mappings of algorithms. He has over 2400 Google Scholar citations.
About the University of Belgrade:
In August 2013 it was announced that it shares the position 301 at the Shanghai top 500 list. At the same time, for mathematics (which includes the theoretical computer science), it was announced that it shares the position 101. Except for 18 schools in UK, France, and Germany, only 6 other European schools are ranked better than Belgrade.