Optimized Systems for Analyzing Big Data


H. Peter Hofstee from IBM Austin Research Laboratory  -- 16-11-2012


In this talk we present a systems view of "Big Data". We begin by explaining the differences between traditional data bases and big data, and discuss the various aspects of data structuring. Next we present a number of recent applications of big data analytics within this context. Then we investigate how systems for big data are structured today, and we discuss opportunities for system optimization. Finally we take a step back and speculate about how the big data space may evolve over time and how system architects can respond to these coming changes.


H. Peter Hofstee currently works at the IBM Austin Research Laboratory on workload-optimized and hybrid systems. Peter has degrees in theoretical physics (MS, Rijks Universiteit Groningen, Netherlands) and computer science (PhD, California Inst. of Technology). At IBM Peter has worked on microprocessors, including the first CMOS processor to demonstrate GHz operation (1997), and he was the chief architect of the synergistic processor elements in the Cell Broadband Engine, known from its use in the Sony Playstation 3 and the Roadrunner supercomputer that first broke the 1 Petaflop Linpack benchmark. His interests include VLSI, multicore and heterogeneous microprocessor architecture, security, system design and programming. Peter has over 100 patents issued or pending.

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