Self-adapting, self-optimizing runtime management of Grid applications using PRAGMA

Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003

Volumn , Issue , 2003, Pages

  Zhu, H ^a   Parashar, M ^a   Yang, J ^b   Zhang, Y ^b   Rao, S ^b   Hariri, S ^b  

^a RUTGERS UNIVERSITY   (United States)

^b University of Arizona   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTED PARAMETER NETWORKS;

ADAPTIVE APPLICATION; APPLICATION PERFORMANCE; COMPRESSIBLE FLUID DYNAMICS; ENGINEERING SIMULATION; PREDICTIVE PERFORMANCE MODELS; PROTOTYPE IMPLEMENTATIONS; STRUCTURED ADAPTIVE MESH REFINEMENT; UNIVERSITY OF ARIZONA;

THREE DIMENSIONAL COMPUTER GRAPHICS;

EID: 84947211158     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPDPS.2003.1213382     Document Type: Conference Paper

References (11)

1. M. Parashar, and S. Hariri. PRAGMA: An Infrastructure for Runtime Management of Grid Applications. Proceedings of the NSF Next Generation Systems Program Workshop, IEEE/ACM International Parallel and Distributed Processing Symposium, Fort Lauderdale, FL, CDROM, IEEE Computer Society Press, 8 pages April 2002.
2. S. Chandra, S. Sinha, M. Parashar, Y. Zhang, J. Yang, and S. Hariri. Adaptive Runtime Management of SAMR Applications. Proceedings of the 9th International Conference on High Performance Computing (HiPC 2002), Lecture Notes in Computer Science, Editors: S. Sahni, V. K. Prasanna, U. Shukla, Springer-Verlag, Bangalore, India, Vol. 2552, pp 564-574, December 2002.
3. S. Chandra and M. Parashar. ARMaDA: An Adaptive Application-Sensitive Partitioning Framework for Structured Adaptive Mesh Refinement Applications Proceedings of the IASTED International Conference on Parallel and Distributed Computing Systems (PDCS 02), Cambridge, MA, ACTA Press, pp. 446-451, November 2002.
4. S. Chandra, J. Steensland, M. Parashar, and J. Cummings. An Experimental Study of Adaptive Application Sensitive Partitioning Strategies for SAMR Applications. Proceedings of the 2nd Los Alamos Computer Science Institute Symposium (also best research poster at Supercomputing Conference 2001), October 2001.
5. S. Hariri, P. K. Varshney, L. Zhou, H. Xu and S. Ghaya", A Hierarchical Analysis Approach for High Performance Computing and Communication Applications. Proceedings of the 32nd Hawaii International Conference on System Sciences, Maui, HW, January 1999.
6. S. Hariri, H. Xu, and A. Balamash. A Multilevel Modeling and Analysis of Network-Centric Systems. Special Issue of Microprocessors and Microsystems Journal, Elsevier Science on Engineering Complex Computer Systems, 1999.
7. S. Kaur, V. Mann, V. Matossian, R. Muralidhar, and M. Parashar. Engineering a Distributed Computational Collaboratory. Proceedings of the 34th Hawaii International Conference on System Sciences, Maui, HW, January 2001.
8. M. Parashar and J. Browne. On Partitioning Dynamic Adaptive Grid Hierarchies. Proceedings of the 29th Hawaii International Conference on System Sciences, Maui, HW, January 1996.
9. M. Parashar and S. Hariri. Interpretive Performance Prediction for Parallel Application Development. Journal of Parallel and Distributed Computing, vol. 60(1), pp. 17-47, January 2000.
10. M. Parashar and S. Hariri. Compile-Time Performance Interpretation of HPF/Fortran 90D. IEEE Parallel and Distributed Technology, Spring 1996.
11. S. Sinha and M. Parashar. Adaptive Runtime Partitioning of AMR Applications on Heterogeneous Clusters. Proceedings of the 3rd IEEE International Conference on Cluster Computing