Overview
This quarter the Database group meeting will be used mostly for
presenting current
research as well as for inviting speakers from outside of CSE
UW.
Meetings will be held in CSE 605 Database Lab unless specified
otherwise.
The group meeting is sponsored by Yahoo!
as part of the Yahoo! Database Talk Series.
Mailing List
You can sign up for the mailing list here.
Send mail to that list at uw-db at cs.
Schedule
Date |
Time |
Presenter |
Title |
Tue, Jan 13 |
11:00am |
Dan Olteanu (Oxford) |
Scalable
Query Processing in Probabilistic Databases with SPROUT |
Wed, Jan 21 |
2.30pm |
|
|
Wed, Jan 28 |
2.30pm |
Kate Moore |
|
Wed, Feb 4 |
2.30pm |
Julie Letchner |
|
Thu, Feb 5 |
12.30pm |
Yahoo! Database Talk Series DryadLINQ:
distributed data-parallel computing using a high-level language |
|
Wed, Feb 11 |
2.30pm |
Chris RŽ |
Practice job talk |
Wed, Feb 18 |
2.30pm |
Mike Cafarella |
Practice job talk |
Wed, Feb 25 |
2.30pm |
|
|
Wed, Mar 4 |
2.30pm |
Vibhor Rastogi |
|
Wed, Mar 11 |
2.30pm |
YongChul Kwon |
|
Wed, Mar 18 |
2.30pm |
|
|
Details
Scalable Query
Processing in Probabilistic Databases with SPROUT Abstract: In this talk I'll address
the problem of query evaluation on probabilistic databases and present an
efficient query evaluation technique based on Ordered Binary Decision
Diagrams (OBDDs). The connection between various classes of tractable queries
and OBDDs that have polynomial sizes and can be found in polynomial time is
central to this work and will form the main part of the talk. This technique
is implemented in SPROUT, a new query engine that extends the PostgreSQL
engine with secondary-storage query evaluation algorithms. Preliminary
experiments with 1GB of TPC-H data suggest that SPROUT is up to two orders of
magnitude faster than state-of-the-art query evaluation techniques. Short Bio: Dan Olteanu joined Comlab
in Sept 2007 as a University Lecturer [roughly equivalent to tenure-track
Assistant Professor in North America]. Dan holds a Dipl.Ing. in Computer
Science from Polytechnic University of Bucharest (Sept 2000) and a PhD in
Computer Science from Ludwig Maximilian University of Munich (Feb 2005). Before
joining Comlab, he was a postdoctoral researcher at Saarland University in
Saarbruecken (April 2005 - Aug 2007), a visiting scientist at Cornell
University in Ithaca (Fall 2006), and a temporary professor at Ruprecht Karl
University in Heidelberg (Summer term 2007). |
DryadLINQ:
Distributed Data-Parallel Computing Using a High-Level Language (part of the Yahoo! Database Talk Series) Abstract: DryadLINQ is a system and a set of language extensions
that enable a new programming model for large scale distributed
computing. It generalizes
previous execution environments such as SQL, MapReduce, and Dryad in two
ways: by adopting an expressive data model of strongly typed .NET objects;
and by supporting general-purpose imperative and declarative operations on
datasets within a traditional high-level programming language. I will outline the design of DryadLINQ, including an
introduction to the LINQ programming model, and discuss the tradeoffs in both
programming models and implementation strategies that we made with DryadLINQ,
compared with parallel SQL and MapReduce. Bio: Michael Isard received his DPhil, in computer vision,
from Oxford University in 1998. In 1999 he started work at the Compaq Systems
Research Center, and since 2002 has worked for Microsoft Research at their Silicon
Valley Campus. He spent much of 2003 to 2005 working closely with the MSN
Search product group on the design and implementation of their V1 search
engine. His current research interests include large-scale distributed
systems and programming models for parallel and distributed computing. Speaker
schedule: http://reserve.cs.washington.edu/visitor/week.php?year=2009&month=02&day=05&area=5&room=1350 |
Coming SoonÉ
Here
are the students who plan to give talk in Spring Quarter:
á
Kristi Morton
á Prasang Upadhyaya
á
Marianne Shaw
á
Wolfgang Gatterbauer
á Nodira Khoussainova
á Abhay Jha
á Flavio Pfaffhauser