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SDMAS'08 is an international workshop held within
The 2008 International Conference on
Parallel and Distributed Processing Techniques and Applications
.
Data management is becoming a more and more important
issue in every kind of computing system. High-performance
computing, data visualization, multimedia and data mining
systems are examples of application areas where input/output
and storage are critical issues for performance. A key
challenge in those areas is how to transfer large amounts
of data in and out of large-scale systems, like clusters,
Grids and peer-to-peer systems. Another key point is how
to transfer large amount of data in a timely manner. The
aim of the workshop is to identify, discuss, and share
the barriers and workarounds that have been discovered
in the storage and input/output fields.
SDMAS is a forum that brings
together researchers and practitioners interested in different aspects of data management systems
and its applications to industry. The workshop seeks to act as a conduit for the presentation of
novel approaches used in data management (from the hardware layer to the higher software layers) as
well as their application to research and industry.
News
All accepted papers will be published in the PDPTA conference proceedings.
Best papers from the workshop will be selected by SDMAS program committee for publication in an special issue of
Journal of Supercomputing
(Journal Citation Report Impact Factor -> 0.398).
Academic co-sponsors
The list of co-sponsors of PDPTA'08/WORLDCOMP'08 will soon be finalized which
will include research laboratories and centers affiliated with major
institutions. The reputation and caliber of the co-sponsors of the
2008 conference will be comparable to the 2007 offering of the
conference which included:
Academic co-sponsors
- Massachusetts Institute of Technology (MIT) Media Lab., MIT
- Computational Biology and Functional Genomics Lab., Harvard University
- Statistical Genomics and Computational Biology Lab., Dept. of Statistics, Harvard University
- Biomedical Cybernetics Lab., Harvard University
- Texas Advanced Computing Center, University of Texas at Austin
- Statistical and Computational Intelligence Lab., Purdue University
- Center for Computational Biology and Bioinformatics, Indiana University and Purdue University Indianapolis (IUPUI)
- University of Iowa's Medical Imaging HPC Lab.
- BioMedical Informatics and Bio-Imaging Lab. of Georgia Institute of Technology and Emory University
- Intelligent Data Exploration and Analysis Lab., University of Texas at Austin
- Statistical Genetics Research Group of Columbia University, New York
- Institute for Informatics Problems of the Russian Academy of Sciences
- University of North Dakota (Grand Forks, North Dakota).
Corporate co-sponsors
- Google
- Intel
- Salford Systems
Other co-sponsors
- Int'l Technology Inst. (ITI)
- GridToday
- HPCwire
- HPC Software Inc.
- STEM Education Society
- Hodges' Health
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