Investigating autonomic runtime management strategies for SAMR applications

International Journal of Parallel Programming

Volumn 33, Issue 2-3, 2005, Pages 247-259

  Chandra, Sumir ^a   Parashar, Manish ^a   Yang, Jingmei ^b   Zhang, Yeliang ^b   Hariri, Salim ^b  

^a RUTGERS UNIVERSITY   (United States)

^b University of Arizona   (United States)

Author keywords

Application system sensitive reactive and proactive partitioning; GridARM autonomic runtime management framework; Structured adaptive mesh refinement

Indexed keywords

COMPUTER SELECTION AND EVALUATION; COMPUTER SIMULATION;

ENGINEERING SIMULATIONS; RUNTIME MANAGEMENT; SAMR KERNELS; STRUCTURED ADAPTIVE MESH REFINEMENT (SAMR);

COMPUTATION THEORY;

EID: 23944501514     PISSN: 08857458     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10766-005-3589-z     Document Type: Article

References (9)

1. S. Chandra, M. Parashar, and S. Hariri, GridARM: An Autonomie Runtime Management Framework for SAMR Applications in Grid Environments, Autonomie Applications Workshop, High Performance Computing (HiPC'03), India, pp. 286-295 (December 2003).
2. S. Chandra and M. Parashar, ARMaDA: An Adaptive Application-Sensitive Partitioning Framework for Structured Adaptive Mesh Refinement Applications, Proc. of Parallel and Distributed Computing Systems (PDCS'02), Cambridge, MA, pp. 446-451 (November 2002).
3. M. Parashar, http://www.caip.rutgers.edu/TASSL/Projects/GrACE, GrACE homepage.
4. J. Steensland, http://www.caip.rutgers.edu/~johans/vampire, Vampire homepage.
5. J. Steensland, S. Chandra, and M. Parashar, An Application-Centric Characterization of Domain-Based SFC Partitioners for Parallel SAMR, IEEE Trans. on Parallel and Distributed Sys. 13(12)1275-1289 (December 2002).
6. R. Wolski, N. T. Spring, and J. Hayes, The Network Weather Service: A Distributed Resource Performance Forecasting Service for Metacomputing, J. Future Generation Comput. Syst. 15(5-6):757-768 (October 1999).
7. S. Sinha and M. Parashar, Adaptive System-Sensitive Partitioning of AMR Applications on Heterogeneous Clusters, Cluster Computing: The J. Networks, Software Tools, and Applications, Kluwer Academic Publishers, 5(4):343-352 (2002).
8. H. Zhu, M. Parashar, J. Yang, Y. Zhang, S. Rao, and S. Hariri, Self Adapting, Self Optimizing Runtime Management of Grid Applications using PRAGMA, Proc. of NSF NGS Program Workshop, IEEE/ACM 17th IPDPS, Nice, France, CDROM, 7P. (April 2003).
9. S. Chandra, S. Sinha, M. Parashar, Y. Zhang, J. Yang, and S. Hariri, Adaptive Runtime Management of SAMR Applications, Proc. of High Performance Computing (HiPC'02), LNCS, India, Vol. 2552, pp. 564-574 (December 2002).