Parallel scripting for applications at the petascale and beyond

Computer

Volumn 42, Issue 11, 2009, Pages 50-60

  Wilde, Michael ^a   Foster, Ian ^a   Iskra, Kamil ^a   Beckman, Pete ^a   Zhang, Zhao ^b   Espinosa, Allan ^b   Hategan, Mihael ^b   Clifford, Ben ^b   Raicu, Ioan ^c  

^a ARGONNE NATIONAL LABORATORY   (United States)

^b UNIVERSITY OF CHICAGO   (United States)

^c NORTHWESTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 70450197747     PISSN: 00189162     EISSN: None     Source Type: Trade Journal    
DOI: 10.1109/MC.2009.365     Document Type: Article

References (16)

1. J. Ousterhout, "Scripting: Higher-Level Programming for the 21st Century," Computer, Mar. 1998, pp. 23-30.
2. Y. Zhao et al., "Swift: Fast, Reliable, Loosely Coupled Parallel Computation," Proc. 2007 IEEE Congress on Services, IEEE Press, 2007, pp. 199-206.
3. Y. Zhao et al., "A Notation and System for Expressing and Executing Cleanly Typed Workflows on Messy Scientific Data," ACM SIGMOD Record, Sept. 2005, pp. 37-43.
4. G. Hocky et al., Toward Petascale ab initio Protein Folding through Parallel Scripting, tech. report ANL/MCS-P1645-0609, Argonne National Laboratory, 2009.
5. J. DeBartolo et al., "Mimicking the Folding Pathway to Improve Homology-Free Protein Structure Prediction," Proc. National Academy of Sciences, 10 Mar. 2009, pp. 3734-3739.
6. Z. Zhang et al., "Design and Evaluation of a Collective I/O Model for Loosely-Coupled Petascale Programming," Proc. 2008 IEEE Workshop Many-Task Computing on Grids and Supe rcomputers (MTAGS 08), IEEE Press, 2008, pp. 1-10.
7. I. Raicu et al., "Toward Loosely Coupled Programming on Petascale Systems," article no. 22, Proc. 2008 IEEE / ACM Conf. Supercomputing (SC 08), IEEE Press, 2008.
8. S. Kenny et al., "Parallel Workflows for Data-Driven Structural Equation Modeling in Functional Neuroimaging," Frontiers in Neuroinformatics, Nov. 2009.
9. A. Fedorov et al., Non-Rigid Registration for Image-Guided Neurosurgery on the TeraGrid: A Case Study, tech. report WM-CS-2009-2105, Dept. of Computer Science, College of William and Mary, 2009.
10. J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Comm. ACM, Jan. 2008, pp. 107-113.
11. Y. Gu and R.L. Grossman, "Sector and Sphere: The Design and Implementation of a High Performance Data Cloud," Philosophical Trans. Royal Society A, 28 June 2009, pp. 2429-2445.
12. M. Isard et al., "Dryad: Distributed Data-Parallel Programs from Sequential Building Blocks," ACM SIGOPS Ope rating System Rev., June 2007, pp. 59-72.
13. D. Abramson et al., "Parameter Space Exploration Using Scientific Workflows," Computat ional Science-ICCS 2009, LNCS 5544, Springer, 2009, pp. 104-113.
14. P. Balaji et al., "MPI on a Million Processors," Proc. 2009 European PVM / MPI Users' Group Conf. (EuroPVM/MPI 09), CSC-IT Center for Science, 2009.
15. D. Thain and M. Livny, "Building Reliable Clients and Services," The Grid: Blueprint for a New Computing Infrastructure, I. Foster and C. Kesselman, eds., Morgan Kaufmann, 2005, pp. 285-318.
16. B. Chamberlain, D. Callahan, and H. Zima, "Parallel Programmability and the Chapel Language," Int'l J. High-Performance Computing Applications, Aug. 2007, pp. 291-312.