DataFlow SuperComputing for BigData Analytics in Finance

From: 05 Oct 2017 - 14:00 To: 05 Oct 2017 - 16:30

DataFlow SuperComputing for BigData Analytics in Finance

Prof. Veljko Milutinovic will present his analyses on the essence of DataFlow SuperComputing as part of the Cork University Business School Seminar Series.

Prof Veljko Milutinoviic, Chairman of the Board for the Maxeler, will present his paper entitled - DataFlow SuperComputing for BigData Analytics in Finance

Date Thursday 5 October, 2017
Time 2pm - 4.30pm
Venue North West Council Room, UCC
RSVP  Monday 2 October - Dr Seán Lucey
  A light lunch will be served

Abstract
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: Trading and Finances, CreditDerivatives and numerous related BankingApplications, but also SignalProcessing, GeoPhysics, WeatherForecast, Oil+Gas, DataEngineering, DataMining, ScientificSimulations, BrainResearch, Genomics, etc.

 

Also, a recent study from Tsinghua University in China is presented, which reveals that, for Shallow Water Weather Forecast (a BigData problem), on the 1U level, the Maxeler DataFlow machine is 14 times faster than the Tianhe machine, at the time of the study, rated #1 on the Top 500 list (based on Linpack, which is a smalldata benchmark). Given enough time, the presentation also gives a tutorial about the programming in space, which is the programming paradigm used for the Maxeler dataflow machines (established in 2014 by Stanford, Imperial, Tsinghua, and the University of Tokyo). The presentation concludes with selected examples and a tool overview (appgallery.maxeler.com and webIDE.maxeler.com). A more detailed tutorial on programming in space will be available after the presentation, including the information on MaxGenFD. Related hands-on activities will be performed by remote login.

Since December 2016, Maxeler is also available via Amazon AWS. In December 2016, Hitachi of Japan announced its partnership with Maxeler (also available via Amazon AWS), stating that, for their finance and cryptography applications, Maxeler was orders of magnitude faster than any other ControlFlow platform. Read more

About the speaker
Prof. Veljko Milutinovic (1951) received his PhD from the University of Belgrade, spent about a decade on various faculty positions in the USA (mostly at Purdue University), and was a co-designer of the DARPAs first GaAs RISC microprocessor. Later, for almost 3 decades, he taught and conducted research at the University of Belgrade, in EE, BA, MATH, and PHYS/CHEM. Now he serves as the Chairman of the Board for the Maxeler operation in Belgrade, Serbia. His research is mostly in datamining algorithms and dataflow computing, with the emphasis on mapping of data analytics algorithms onto fast energy efficient architectures. For 7 of his books, forewords were written by 7 different Nobel Laureates with whom he cooperated on his past industry sponsored projects. He has over 40 IEEE journal papers, over 40 papers in other SCI journals (4 in ACM journals), over 400 Thomson-Reuters citations, and about 4000 Google Scholar citations. Short courses on the subject he delivered so far in a number of universities worldwide: MIT, Harvard, Boston, NEU, Columbia, NYU, Princeton, Temple, Purdue, IU, UIUC, Michigan, EPFL, ETH, Karlsruhe, Heidelberg, University of Vienna, Vienna Politechnical University, Napoli, Salerno, Siena, Pisa, etc. Also at the World Bank in Washington DC, BNL, IBM TJ Watson, Yahoo NY, ABB Zurich, Oracle Zurich, etc.

Attending this event
All welcome to attend.  Please RSVP by Monday 2 October to Dr Seán Lucey

E: [email protected]
T: 353(0) 21 490 3106 

Public parking available at Perrott Avenue (near Hayfield Manor Hotel) or Perrott’s Inch (near Gaol Cross).