Ph.D., Weizmann Institute of Science, Rehovot, Israel, 1984
Computer Sciences Department
University of Wisconsin
1210 W. Dayton St.
Madison, WI 53706-1685
Telephone: (608) 262-0856
Fax: (608) 262-9777
High Throughput Computing, Visual Data Exploration, Experiment
Management Environments, and Performance Evaluation.
BMRB - Biological Magentic Resonance
HTCondor - High Throughput Computing
DEVise - Visual Data Integration
High throughput computing is a challenging research area in which a wide range
of techniques is employed to harness the power of very large collections of
computing resources over long time intervals. My group is engaged in research
efforts to develop management and scheduling techniques that empower high
throughput computing on local and wide area clusters of distributively owned
resources. The results of these efforts are translated into production code and
are incorporated into the Condor system. Condor is a widely used high
throughput computing system. The worldwide user community of Condor plays an
important and active role in our research. Researchers from a wide spectrum of
scientific disciplines collaborate with us in the development and evaluation of
In the area of visual exploration of information my group works on developing a
framework and tools for intuitive graphical interaction with collections of
multimedia data. Our framework is based on a declarative approach to the
creation of active visual presentations of tabular data. We implement our
tools in Java and work closely with domain scientists on testing and evaluating
them with real data. Some of this data is stored in scientific databases that
are connected to real-time and off-line data sources.
Sample Recent Publications
DEVise: Integrated Querying and Visual Exploration of Large Datasets.
(M. Livny, R. Ramakrishnan, K. Beyer, G. Chen, D. Donjerkovic, S.
Lawande, J. Myllymaki, and Kent Wenger)
Proc. 1997 ACM SIGMOD International Conference on Management of Data
Interfacing Condor and PVM to Harness the Cycles of Workstation Clusters,
(J. Pruyne and M. Livny)
Journal on Future Generations of Computer Systems,
Vol. 12, 1996.
ZOO: A Desktop Experiment Management Environment,
(Y. Ioannidis M. Livny and S. Gupta,)
the 21st International VLDB Conference,
Relational Joins for Data on Tertiary Storage,
(J. Myllymaki, and M. Livny)
Proc. IEEE Data Engineering,
My publications as recorded by DBLP