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From Jimmy Lin <jimmy...@umd.edu>
Subject Final Reminder: NSF, Google, IBM CLuE PI Meeting: October 5, 2009
Date Tue, 29 Sep 2009 02:29:51 GMT
Hi everyone,

Just a final reminder for this NSF/Google/IBM event next Monday (10/5). 
  We've put together an exciting program with talks by Luiz André 
Barroso (Google), Hamid Pirahesh (IBM), and many academics describing 
their latest research with Hadoop.  Hope you can join us next week!

Best,
Jimmy


==CLuE PI Meeting 2009==

Monday, October 5, 2009
Computer History Museum
Mountain View, California

Sponsored by the National Science Foundation, Google, IBM
Organized by the University of Maryland Cloud Computing Center

Website: https://wiki.umiacs.umd.edu/ccc/index.php/CLuE_PI_Meeting_2009
Registration: http://clue2009.eventbrite.com/

= What's this event about?

In October 2007, Google and IBM announced the first pilot phase of the 
Academic Cloud Computing Initiative (ACCI), which granted several 
prominent U.S. universities access to a large computer cluster running 
Hadoop, an open source distributed computing platform inspired by 
Google’s file system and MapReduce programming model. In February 2008, 
the ACCI partnered with the National Science Foundation to provide grant 
funding to academic researchers interested in exploring large-data 
applications that could take advantage of this infrastructure. This 
resulted in the creation of the Cluster Exploratory (CLuE) program led 
by Dr. Jim French, which currently funds 14 projects. See this NSF Press 
Release for a short description of all the projects funded under the 
CLuE program.

Nearing the two year anniversary of this collaboration, the National 
Science Foundation, Google, and IBM will be jointly sponsoring a meeting 
for the CLuE project principal investigators (PIs). This will event will 
be open to the public—in fact, the explicit goal of this event is to 
showcase the exciting research currently underway in academia and 
promote closer ties with the broader "cloud computing" community in the 
bay area.

= Schedule at a Glance

See below for an overview of talks scheduled for the day. We are pleased 
to welcome two keynotes, by Hamid Pirahesh from IBM (in the morning) and 
Luiz Barroso from Google (in the afternoon). The meeting will be capped 
off with a poster reception in the early evening, where representatives 
of all CLuE projects will present their work in a more informal setting.

Morning Session

(07:30 - 08:00) Registration and breakfast

(08:00 - 08:30) Introductions

(08:30 - 09:15) IBM keynote: Impact of Cloud Computing on Research in 
Extreme Scale Analytics. Hamid Pirahesh

(09:15 - 09:40) Topic-Partitioned Search Engine Indexes. Jamie Callan, 
Jaime Arguello, Anagha Kulkarni (CMU)

(09:40 - 10:05) Indexing Geospatial Data with MapReduce. Naphtali Rishe, 
Vagelis Hristidis, Raju Rangaswami, Ouri Wolfson, Howard Ho, Ariel Cary, 
Zhengguo Sun, Lester Melendes (Florida International University)

(10:05 - 10:30) Morning coffee break

(10:30 - 10:55) Scalable Graph Processing in Data Center Environments. 
Ben Zhao, Xifeng Yan, Divyakant Agrawal, Amr El Abbadi (University of 
California, Santa Barbara)

(10:55 - 11:20) Large-Scale Data Cleaning Using Hadoop. Chen Li, Michael 
Carey, Alexander Behm, Shengyue Ji, Rares Vernica (University of 
California, Irvine)

(11:20 - 11:45) Cluster Computing for Statistical Machine Translation. 
Stephan Vogel, Qin Gao, Noah Smith, Kevin Gimpel, Alok Parlikar, Andreas 
Zollmann (CMU)

(11:45 - 12:10) Research and Education with MapReduce/Hadoop: 
Data-Intensive Text Processing and Beyond. Jimmy Lin, Tamer Elsayed, 
Chris Dyer, Philip Resnik, Doug Oard (University of Maryland)

Afternoon Session

(1:00 - 1:45) Google keynote: Datacenter-Scale Computing. Luiz André Barroso

(1:45 - 2:10) A Performance and Usability Comparison of Hadoop and 
Relational Database Systems. Sam Madden, Andrew Pavlo, Erik Paulson, 
Alexander Rasin, Daniel Abadi, David DeWitt, Michael Stonebraker (MIT, 
Brown, University of Wisconsin, Microsoft, Yale)

(2:10 - 2:35) HadoopDB An Architectural Hybrid of MapReduce and DBMS 
Technologies for Analytical Workloads. Daniel Abadi, Azza Abouzeid, 
Kamil Bajda-Pawlikowski (Yale University)

(2:35 - 3:00) Towards Interactive Visualization in the Cloud. Bill Howe, 
Huy Vo, Claudio Silva, Juliana Friere, YingYi Bu (University of 
Washington, University of Utah)

(3:00 - 3:30) Afternoon coffee break

(3:30 - 3:55) Scaling the Sky with MapReduce/Hadoop. Andrew Connolly, 
Jeff Gardner, Simon Krughoff (University of Washington)

(3:55 - 4:20) Commodity Computing in Genomics Research. Mihai Pop, Mike 
Schatz (University of Maryland)

(4:20 - 4:45) Relaxed Synchronization and Eager Scheduling in MapReduce. 
Ananth Grama, Suresh Jagannathan (Purdue University)

(4:45 - 5:10) Dynamic Provisioning of Data Intensive Applications. 
Chaitanya Baru, Sriram Krishnan (San Diego Supercomputer 
Center/University of California, San Diego

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