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seminars:dataflow_supercomputing_for_big_data_deep_analytics [2019/02/06 12:36] (current)
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 +====== DataFlow Supercomputing for Big Data Deep Analytics ======
 +Wednesday February 27, 2019\\
 +Location: CIC 4th floor Panther Hollow Conference Room\\
 +Time: 4:​30PM-6:​00PM\\
 +This talk and the accompanying hands-on tutorial analyze the essence of dataflow supercomputing,​ define its
 +advantages, and shed light on the related programming model. The dataflow paradigm, compared to the
 +control flow paradigm, offers the potential for: (a) speedups of at least 10x to 100x and sometimes much more
 +(depending on application characteristics),​ (b) better precision (depending on the characteristics of the
 +optimizing compiler, operating system, etc.), %%(c)%% a power reduction of at least 10x, and (d) a hardware size
 +reduction of well over 10x. Our Ultimate DataFlow supercomputing approach achieves all of these benefits,
 +but its programming paradigm is different, and has to be mastered to fully take advantage of the benefits.
 +This presentation explains Ultimate DataFlow and its programming paradigm, using the Maxeler programming
 +model as an example, and sheds light on ongoing research in the field by my group and others. The
 +presentation concludes with a summary of notable applications of the Maxeler work, such as emulating quark-
 +related processes, tensor calculus for emulating QuasiCrystals,​ financial applications used by large banks
 +and trading exchanges, mathematical algorithms, image processing, and ML/AI.
 +Prof. Veljko Milutinovic 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 recently at the Indiana University
 +in Bloomington),​ and was a co-designer of DARPA'​s first GaAs RISC microprocessor and first GaAs Systolic
 +Array. Later, for about two decades, he taught and conducted research at the University of Belgrade, in EE,
 +MATH, BA, and PHYS/CHEM. Now he serves as the Senior Advisor to Maxeler Technologies in London, and
 +the Chairman of the Board of IPSI Belgrade. His research is mostly in data mining algorithms and dataflow
 +computing, with an 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.