Panda Project Publications
2006
2005
2004
2003
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Xiaosong Ma.
Hiding Periodic I/O Costs in Parallel Applications.
PhD thesis, Dept. of Computer Science, University of Illinois at
Urbana-Champaign, 2003.
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Jonghyun Lee.
Supporting I/O for Remote
Visualization of High-Performance Scientific Simulations.
PhD thesis, Dept. of Computer Science, University of Illinois at
Urbana-Champaign, 2003.
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J. Lee, M. Winslett, X. Ma and S. Yu.
Declustering Large Multidimensional Data Sets for Range Queries over Heterogeneous Disks.
Proceedings of the 15th International Conference on Scientific and Statistical Database Management, July 2003.
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X. Ma, J. Jiao, M. Campbell, and M. Winslett.
Flexible and Efficient Parallel I/O for Large-Scale Multi-component Simulations.
Proceedings of The 4th Workshop on Parallel and Distributed
Scientific and Engineering Computing with Applications,
in conjunction with the 2003 International Parallel and Distributed
Processing Symposium, April 2003.
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X. Ma, M. Winslett, J. Lee, and S. Yu.
Improving MPI-IO Output Performance with Active Buffering Plus Threads.
Proceedings of the 2003 International Parallel and Distributed
Processing Symposium, April 2003.
2002
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J. Lee, X. Ma, M. Winslett, and S. Yu.
Active Buffering Plus Compressed Migration: An Integrated Solution to Parallel Simulations' Data Transport Needs.
Proceedings of the 16th ACM International Conference on Supercomputiong , June 2002.
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S. Yu, M. Winslett, J. Lee, and X. Ma.
Automatic and Portable Performance Modeling for Parallel I/O: A
Machine-Learning Approach.
In Proceedings of the 4th ACM SIGMETRICS Workshop on Mathematical
Performance Modeling and Analysis, June 2002.
(An extended version will appear in a special issue of SIGMETRICS
Performance Evaluation Review)
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J. Lee, M. Winslett, X. Ma, and S. Yu.
Enhancing Data Migration Performance via Parallel Data Compression.
In Proceedings of the 2002 International Parallel and Distributed Processing Symposium, April 2002.
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X. Ma, M. Winslett, J. Lee, and S. Yu.
Faster
Collective Output through Active Buffering.
In Proceedings of the 2002 International Parallel and Distributed
Processing Symposium, April 2002.
2001
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J. Lee, M. Winslett, X. Ma, and S. Yu.
Tuning High-Performance
Scientific Codes: The Use of Performance Models to Control Resource Usage During Data Migration and I/O.
In Proceedings of the 15th ACM International Conference on Supercomputing, June 2001.
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P. Brezany, P. Czerwinski, and M. Winslett.
A Generic Interface for Parallel Access to Large Data Sets
from HPF Applications.
Future Generation Computing Systems,
volume 17, number 8, June 2001, pp. 977-985.
2000
1999
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Jonghyun Lee.
Web-based Data
Migration for High-performance Scientific Codes.
MS thesis, Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1999.
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S. Kuo,
M. Winslett, and Y. Cho.
GDM_Diagonal: New
Declustering Methods for Parallel Range Queries.
Proceedings of the International Database Engineering and Applications Symposium, August 1999.
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Szu-Wen Kuo.
Efficient Data
Organization and Load Balancing on Parallel Disks.
PhD thesis, Dept. of Computer Science, University of Illinois at
Urbana-Champaign, 1999.
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Yong Cho.
Efficient resource
utilization for parallel I/O in cluster environments.
PhD thesis, Dept. of Computer Science, University of Illinois at
Urbana-Champaign, 1999.
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Y. Cho, M. Winslett, S. Kuo,
J. Lee, and Y. Chen.
Parallel I/O for scientific
applications on heterogeneous clusters: A resource-utilization approach.
Proceedings of the 13th ACM International Conference on
Supercomputing, June 1999.
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S. Kuo,
M. Winslett, Y. Cho, J. Lee, and Y. Chen.
Efficient Input and Output
for Scientific Simulations.
Proceedings of the Sixth Workshop on Input/Output in
Parallel and Distributed Systems, May 1999.
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P. Brezany
and M. Winslett.
Advanced Data Repository
Support for Java Scientific Programming.
Proceedings of the International Conference on High Performance Computing and Networking, 1999.
1998
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Y. Cho,
M. Winslett, S. Kuo, Y. Chen, J. Lee, and K. Motukuri.
Parallel I/O on Networks of
Workstations: Performance Improvement by Careful Placement of I/O
Servers.
In Proceedings of the HiPer'98, High Performance Computing on
Hewlett-Packard Systems (Annual conference of the HP2EUG), pages
104-111, Zurich, Switzerland, October 1998.
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Y. Cho, M. Winslett,
J. Lee, Y. Chen, S. Kuo, and K. Motukuri.
Collective I/O on a SGI
CRAY Origin 2000: Strategy and performance.
In Proceedings of the 1998 International Conference on Parallel and
Distributed Processing Technique and Applications, pages 485-492, Las
Vegas, Nevada, July 1998.
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Y. Chen, M. Winslett,
Y. Cho, and S. Kuo.
Automatic parallel I/O
performance optimization using genetic algorithms.
In Proceedings of the 7th IEEE International Symposium on High
Performance Distributed Computing, pages 155-162, Chicago, Illinois,
July 1998.
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Y. Cho, M. Winslett,
Y. Chen, and S. Kuo.
Parallel I/O
Performance of Fine Grained Data Distributions.
In Proceedings of the 7th IEEE International Symposium on High
Performance Distributed Computing, pages 163-170, Chicago, Illinois,
July 1998.
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Y. Chen,
M. Winslett, Y. Cho, and S. Kuo.
Automatic parallel I/O
performance optimization in Panda.
In Proceedings of the 10th Annual ACM Symposium on Parallel Algorithms
and Architectures, pages 108-118, Puerto Vallarta, Mexico, June 1998.
ACM Press.
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S. Kuo, M. Winslett,
Y. Chen, and Y. Cho.
Efficient I/O of Grid
Hierarchies for AMR Computations on Parallel Disks.
In Proceedings of the 10th International Working Conference on Scientific
and Statistical Database Management, pages 12-21, Capri, Italy, June
1998.
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Y. Chen and
M. Winslett.
Speeding up automatic
parallel I/O performance optimization in Panda.
In Proceedings of the 12th International Symposium on High Performance
Computing Systems, Edmonton, Alberta, Canada, May 1998.
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Ying Chen.
Automatic Parallel
I/O Performance Optimization in Panda.
PhD thesis, Dept. of Computer Science, University of Illinois at
Urbana-Champaign, February 1998.
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George
Velamparampil.
Data management
techniques to handle large data arrays in hdf.
Master's thesis, Dept. of Computer Science, University of Illinois, 1998.
1997
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Y. Cho, M. Winslett,
M. Subramaniam, Y. Chen, S. Kuo, and K.E. Seamons.
Exploiting local data in
parallel array I/O on a practical network of workstations.
In Proceedings of the Fifth Workshop on Input/Output in Parallel and
Distributed Systems, pages 1-13, San Jose, CA, November 1997. ACM
Press.
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S. Kuo,
M. Winslett, Y. Chen, Y. Cho, M. Subramaniam, and K.E. Seamons.
Parallel input/output with
heterogeneous disks.
In Proceedings of the 9th International Working Conference on Scientific
and Statistical Database Management, pages 79-90, Olympia,
Washington, August 1997.
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Y. Chen, I. Foster,
J. Nieplocha, and M. Winslett.
Optimizing collective I/O
performance on parallel computers: A multisystem study.
In Proceedings of 11th ACM International Conference on
Supercomputing, Vienna, July 1997. ACM Press.
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S. Kuo,
M. Winslett, Y. Chen, Y. Cho, M. Subramaniam, and K. Seamons.
Application experience with
Panda.
In Proceedings of the 8th SIAM Conference on Parallel Processing for
Scientific Computing, Minneapolis, MN, March 1997.
1996
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Y. Chen,
M. Winslett, S. Kuo, Y. Cho, M. Subramaniam, and K.E. Seamons.
Performance modeling for the Panda array I/O library.
In Proceedings of Supercomputing '96. ACM Press and IEEE Computer
Society Press, November 1996.
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M. Winslett,
K.E. Seamons, Y. Chen, Y. Cho, S. Kuo, and M. Subramaniam.
The Panda library for
parallel I/O of large multidimensional arrays.
In Proceedings of Scalable Parallel Libraries Conference III,
Mississippi State University, October 1996.
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K.E.
Seamons, Y. Chen, Y. Cho, S. Kuo, and M. Subramaniam.
Persistent array access
using server-directed I/O.
In Proceedings of the 8th International Working Conference on Scientific
and Statistical Database Management, Stockholm, Sweden, June 1996.
IEEE Computer Society Press.
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Mahesh
Subramaniam.
Efficient
implementation of server-directed I/O.
Master's thesis, Dept. of Computer Science, University of Illinois, June
1996.
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Y. Chen,
M. Winslett, K.E. Seamons, S. Kuo, Y. Cho, and M. Subramaniam.
Scalable message passing in
Panda.
In Proceedings of the Fourth Workshop on Input/Output in Parallel and
Distributed Systems, pages 109-121, Philadelphia, May 1996. ACM
Press.
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Kent E. Seamons.
Panda: Fast
Access to Persistent Arrays Using High Level Interfaces and Server Directed
Input/Output.
PhD thesis, Dept. of Computer Science, University of Illinois at
Urbana-Champaign, May 1996.
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Kent E.
Seamons and Marianne Winslett.
Multidimensional array I/O
in Panda 1.0.
Journal of Supercomputing, 10(2):191-211, 1996.
1995
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K.E. Seamons,
Y. Chen, P. Jones, J. Jozwiak, and M. Winslett.
Server-directed collective I/O in Panda.
In Proceedings of Supercomputing '95, San Diego, CA, December
1995. IEEE Computer Society Press.
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K.E. Seamons,
Y. Chen, M. Winslett, Y. Cho, S. Kuo, P. Jones, J. Jozwiak, and
M. Subramanian.
Fast and easy I/O for
arrays in large-scale applications.
In Workshop on Modeling and Specification of I/O, October 1995.
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K.E.
Seamons and M. Winslett.
A data management approach
for handling large compressed arrays in high performance computing.
In Proceedings of the Fifth Symposium on the Frontiers of Massively
Parallel Computation, pages 119-128, February 1995.
1994
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K.E.
Seamons and M. Winslett.
An efficient abstract
interface for multidimensional array I/O.
In Proceedings of Supercomputing '94, pages 650-659, Washington,
DC, November 1994. IEEE Computer Society Press.
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K.E.
Seamons and M. Winslett.
Physical schemas for large
multidimensional arrays in scientific computing applications.
In Proceedings of the 7th International Working Conference on Scientific
and Statistical Database Management, pages 218-227, September
1994.
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