[Info-area1] Fwd: SEMINAR ANNOUNCEMENT (new schedule): DataFlow SuperComputing for BigData DeepAnalytics

Gio 28 Nov 2019 12:40:40 CET

(Apologies for the multiple posting)

I'd like to kindly invite to the following seminar which will be held in
Via Roma 56 (S. Niccolo' building), Siena AT 14:00 (sharp) of the 3rd
DECEMBER 2019

  I remain available for further information. Please feel free to extend
this invitation to whom might be interested. Thanks.
Roberto Giorgi.

===================================================================
* TITLE:
*DataFlow SuperComputing for BigData DeepAnalytics*

* ABSTRACT:

This seminar analyses the essence of DataFlow SuperComputing, defines its
advantages and sheds light on the related programming model that
corresponds to the recent Intel patent about the future Intel's dataflow
processor.

According to Alibaba and Google, as well as the open literature, 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 Streem, 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, which, in the case of the
speaker, was highly influenced by four different Nobel Laureates: (a) from
Richard Feynman it was learned that future computing paradigms will be
successful only if the amount of data communications is minimized; (b) from
Ilya Prigogine it was learned that the entropy of a computing system would
be minimized if spatial and temporal data get decoupled; (c) from Daniel
Kahneman it was learned that the system software should offer options
related to approximate computing; and (d) from Andre Geim it was learned
that the system software should be able to trade between latency and
precision. The approach that satisfies all the above requirements is
referred to as the Ultimate DataFlow. The existing Maxeler programming
model is applicable to Ultimate DataFlow, too.

The presentation concludes with the latest achievements of Maxeler
Technologies in the current and previous year, like emulation of
Quark-related processes available thru Amazon AWS and endorsed by the Nobel
Laureate Jerome Friedman (Nobel Prize for the discovery of Quark) and
tensor calculus applicable for emulation of processes related to
QuasiCrystals (discovered by Nobel Laureate Dan Shechtman). It also
includes examples related to finances (JPMorgan and CitiBank) and trading
(Chicago Mercantile Exchange CME and NASDAQ), as well as those related to:
math algorithms, image processing, machine learning, and artificial
intelligence. All these examples prepare the attendees for utilization of
the future DataFlow engine of Intel, announced through a recent patent by
Intel, which was accompanied by an Intel press release stating that
DataFlow represents the major paradigm shift in computing, in the century
after von Neumann (available on request).

This seminar also offers plenty of hands-on opportunities for attendees,
related to all subjects mentioned above. The first 45-minutes of this
seminar correspond to the invited key talk at the International
SuperComputing Conference, ExaScale Track in Frankfurt, Germany, in June
2018.

The opening presentation is followed by two half-day hands-on workshop for
students who like to become fluent in the MaxJ dataflow programming
language.

===================================================================
* ABOUT THE SPEAKER:
Prof. Veljko Milutinovic (1951) received his PhD from the University of
Belgrade in Serbia, spent about a decade on various faculty positions in
the USA (mostly at Purdue University and more recenlty at the Indiana
University in Bloomington), and was a co-designer of the DARPAs 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).
Later, for about three decades, he taught and conducted research at the
University of Belgrade, in EE, MATH, BA, and PHYS/CHEM. Now he serves as
a Senior Advisor to Maxeler Technologies in London, UK, Scientific
Advisor to the Vienna Congress COMSULT, Research Director of MECOnet of
Podgorica, Montenegro, and the Chairman of the Board of IPSI Belgrade (a
spin-off of Fraunhofer IPSI from Darmstadt, Germany). 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 10 of his books, forewords were written by
10 different Nobel Laureates with whom he cooperated on his past
industry sponsored projects. He has over 100 SCI journal papers (mostly
in IEEE and ACM journals), well over 1000 Thomson-Reuters citations,
well over 1000 SCOPUS citations and well over 4000 Google Scholar
citations. Short or long courses on the subject he delivered so far in a
number of universities worldwide: MIT, Harvard, Boston, NEU, Dartmouth,
U of Massachusetts at Amherst, USC, UCLA, Columbia, NYU, Princeton,
NJIT, CMU, Temple, Purdue, IU, UIUC, Michigan, Wisconsin, Minnesota,
FAU, FIU, Miami, Central Florida, Alabama, Tennessee, GeorgiaTech,
OhioState, Imperial, King's, Manchester, Haddersfield, Cambridge,
Oxford, Dublin, Cork, Cardiff, Edinburgh, EPFL, ETH, TUWIEN, UNIWIE,
Karlsruhe, Stuttgart, Bonn, Frankfurt, Heidelberg, Aachen, Darmstadt,
Dortmund, KTH, Uppsala, Karlskrona, Karlstad, Napoli, Salerno, Siena,
Pisa, Barcelona, Madrid, Valencia, Oviedo, Ankara, Bogazici, Koc,
Istanbul, Technion, Haifa, BerSheba, Eilat, etc, etc. Also at the World
Bank in Washington DC, IMF, the Telenor Bank of Norway, the Reiffeisen
Bank of Austria, Brookhaven National Laboratory, Lawrence Livermore
National Laboratory, IBM TJ Watson, HP Encore Labs, Intel Oregon,
Qualcomm VP, NCR, RCA, Fairchild, Honeywell, Yahoo NY, Google CA,
Microsoft, Finsoft, ABB Zurich, Oracle Zurich, and many other industrial
labs, as well as at Tsinghua, Shandong, NIS of Singapore, NTU of
Singapore, Tokyo, Sendai, Seoul, Pusan, Sydney, Hobart, Auckland,
Wellington, Toronto, Montreal, MexicoCity, Durango, etc.

=====================================================================

Accompanying Textbooks and Journal Papers:

Milutinovic, V., et al,
Guide to DataFlow SuperComputing,
Springer,
2015 (one textbook, part I)
and 2017 (two textbooks, parts II and III).

Hurson, A., Milutinovic, V., editors,
Advances in Computers: DataFlow,
Elsevier,
2015 (one SCI textbook)
and 2017 (two SCI textbooks).

Trifunovic, N., Milutinovic, V. et al,
"The AppGallery.Maxeler.com for BigData SuperComputing,"
Journal of Big Data, Springer,
2016.

Trifunovic, N., Milutinovic, V. et al,
"Paradigm Shift in SuperComputing: DataFlow vs ControlFlow,"
Journal of Big Data,
2015.

Milutinovic, V.,
"The HoneyComb Architecture,"
Proceedings of the IEEE, 1989.

Milutinovic, V. et all,
"Splitting Spatial and Temporal Localities for Entropy Minimiation"
Tutorial of the IEEE ISCA, 1995.

Jovanovic, Z., Milutinovic, V.,
"FPGA Accelerator for Floating-Point Matrix Multiplication,"
The IET Computers and Digital Techniques Premium Award for 2014,
IET (formerly IEE), Volume 6, Issue 4,
2012 (pp. 249-256).

Milutinovic, V.,
"A Comparison of Suboptimal Detection Algorithms
(Suboptimal Algorithms for Data Analytics),"
Proceedings of the IEE (now IET),
1988.

Flynn, M., Mencer, O., Milutinovic, V., at al,
Moving from PetaFlops to PetaData,
Communications of the ACM,
May 2013.

Trobec, R. Vasiljevic, R., Tomasevic, M., Milutinovic, V., et al,
"Interconnection Networks for PetaComputing,"
ACM Computing Surveys,
November 2016.

Kotlar, M., Milutinovic, V.,
"The Tensor Calculus Operations for the Data Flow Paradigm,"
The ExaComm Workshop of the International Supercomputing Conference,
Frankfurt, Germany, June 28, 2018.

Milutinovic, V.,
"The Ultimate DataFlow", Published by Springer in 2019,
Invited Key Talk at the ExaComm Workshop of the ISC,
Frankfurt, Germany, June 28, 2018.

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Q: Why is this email four sentences or less?
A: http://four.sentenc.es
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Roberto Giorgi, PhD --- http://www.dii.unisi.it/~giorgi

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