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Seminar Series Archive

Veljko Milutinovic

March 13, 2020
11:00am - 12:00pm

Title:

DataFlow SuperComputing for Big Data Deep Analytics

Abstract:

This seminar presents DataFlow SuperComputing, defines its advantages and examines the related programming model. The DataFlow paradigm, compared to the ControlFlow paradigm, offers: (a) Speedups of at least 10x to 100x and sometimes much more (depends on the algorithmic characteristics of the most essential loops and the spatial/temporal characteristics of the Big Data Stream, etc.), (b) Potentials for a better precision (depends on the characteristics of the optimizing compiler and the operating system, etc.), (c) Power reduction of at least 10x (depends on the clock speed and the internal architecture, etc.), and (d) Size reduction of well over 10x (depends on the chip implementation and the packaging technology, etc.). However, the programming paradigm is different, and has to be mastered. This presentation explains the programming paradigm, using Maxeler as an example and sheds light on the ongoing research.

The presentation concludes with examples of using the Maxeler Technologies, such as emulation of Quark-related processes available thru Amazon AWS, tensor calculus applicable for emulation of processes related to QuasiCrystals, financial applications (JPMorgan and CitiBank) and trading (Chicago Mercantile Exchange CME and NASDAQ), etc.

Speaker Bio:

Prof. Veljko Milutinovic received his PhD from the University of Belgrade in Serbia. He held faculty positions in the USA, mostly at Purdue University and, more recently at the Indiana University in Bloomington. He was a co-designer of the DARPA’s first GaAs RISC microprocessor at 200MHz (about a decade before commercial efforts on the same speed) and the DARPAs first GaAs Systolic Array with 4096 processors on 200MHz (both well documented in the open literature). After that, he taught and conducted research at the University of Belgrade, His research is mostly in data-mining algorithms and dataflow computing, with the emphasis on mapping of data analytics algorithms onto fast, energy efficient architectures. He is a Life Fellow of the IEEE, Treasurer of The Academia Europaea, and the Founding Member of the Serbian National Academy of Engineering.
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