[Pl-seminar] Talk: Greg Malewicz on MapReduce, Wednesday, Oct. 24, 10:30am

[Mitchell Wand]

Come to hear Greg and stay to hear Dave!  --Mitch

---------- Forwarded message ----------
From: Rachel Kalweit <rachelb at ccs.neu.edu>
Date: Oct 23, 2007 10:45 AM
Subject: [Colloq] REMINDER:  Talk: Greg Malewicz, Wednesday, Oct. 24,
10:30am
To: colloq <colloq at lists.ccs.neu.edu>


College of Computer and Information Science Colloquium

Presents:
Greg Malewicz
Google

Who will speak on:
MapReduce


Wednesday, October 24, 2007
10:30-11:30am
366 West Village H
Northeastern University



Abstract:

MapReduce is a system for High-Performance Computing at Google. The system
enables rapid expression and execution of a wide range of computations
processing massive amounts of data on a large number of machines prone to
failures. The talk will overview the MapReduce system.


Bio

Grzegorz Malewicz received the BA degrees in computer science and in applied
mathematics in 1996 and 1998, respectively, and the MS degree in computer
science in 1998, all from the University of Warsaw. He received the PhD
degree in computer science from the University of Connecticut in 2003. He is
an engineer at Google. He has had internships at the AT&T Shannon Laboratory
(summer 2001) and Microsoft Corp. (summer 2000 and fall 2001). He visited
the Laboratory for Computer Science, Massachusetts Institute of Technology
(MIT, academic year 2002–2003), and was a visiting scientist at the
University of Massachusetts, Amherst (summer 2004) and Argonne National
Laboratory (summer 2005). He was an assistant professor at the University of
Alabama, where he taught computer science from 2003 until 2005. His research
focuses on high-performance parallel and distributed computing, experimental
and theoretical algorithmics, combinatorial optimization, and scheduling.
His research
appears in top journals and conferences and includes a singly authored SIAM
Journal on Computing paper that solves a decade-old problem in distributed
computing.

Host: Rajmohan Rajaraman



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