The CCA component model for high-performance scientific computing

Concurrency and Computation: Practice and Experience

Volumn 18, Issue 2, 2006, Pages 215-229

  Armstrong, Rob ^a   Kumfert, Gary ^b   McInnes, Lois Curfman ^c   Parker, Steven ^d   Allan, Ben ^a   Sottile, Matt ^e   Epperly, Thomas ^b   Dahlgren, Tamara ^b  

^a SANDIA NATIONAL LABORATORIES   (United States)

^b LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

^c ARGONNE NATIONAL LABORATORY   (United States)

^d UNIVERSITY OF UTAH   (United States)

^e LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

Component; Design patterns; Framework; Parallel computing

Indexed keywords

COMPONENTS; COMPUTATIONAL METHODS; DISTRIBUTED COMPUTER SYSTEMS; INTEROPERABILITY; OBJECT ORIENTED PROGRAMMING; PARALLEL PROCESSING SYSTEMS; PATTERN RECOGNITION;

COMMON COMPONENT ARCHITECTURE (CCA); DESIGN PATTERNS; FRAMEWORK; HIGH-PERFORMANCE COMPUTING (HPC);

COMPUTER ARCHITECTURE;

EID: 31144471586     PISSN: 15320626     EISSN: 15320634     Source Type: Journal    
DOI: 10.1002/cpe.911     Document Type: Article

References (32)

1. Armstrong R, Gannon D, Geist A, Keahey K, Kohn S, McInnes LC, Parker S, Smolinski B. Toward a common component architecture for high-performance scientific computing. Proceedings of High Performance Distributed Computing. IEEE Computer Society Press: Los Alamitos, CA, 1999; 115-124.
2. Epperly T, Kohn S, Kumfert G. Component technology for high-performance scientific simulation. Working Conference on Software Architectures for Scientific Computing Applications, Ottawa, Ontario, Canada, October 2000. International Federation for Information Processing, 2000.
3. CCA specification. http://www.cca-forum.org/specification [12 September 2005].
4. Box D. Essential COM. Addison-Wesley: Reading, MA, 1997.
5. Object Management Group. CORBA components. OMG TC Document orbos/99-02-05. March 1999.
6. Siegel J. OMG overview: CORBA and the OMG in enterprise computing. Communications of the ACM 1998; 41(10):37-43.
7. Allan BA, Armstrong RC, Wolfe AP, Ray J, Bernholdt DE, Kohl JA. The CCA core specification in a distributed memory SPMD framework. Concurrency and Computation: Practice and Experience 2002; 14:1-23.
8. Johnson CR, Parker S, Weinstein D, Heffernan S. Component-based problem solving environments for large-scale scientific computing. Journal on Concurrency and Computation: Practice and Experience 2002; 14:1337-1349.
9. Parker SG, Beazley DM, Johnson CR. Computational steering software systems and strategies. IEEE Computational Science and Engineering 1997; 4(4):50-59.
10. Govindaraju M, Krishnan S, Chiu K, Slominski A, Gannon D, Bramley R. Merging the CCA component model with the OGSI framework. Proceedings of the 3rd IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2003), 12-15 May 2003, Tokyo, Japan. IEEE Computer Society Press: Los Alamitos, CA; 2003.
11. Lefantzi S, Ray J, Najm HN. Using the common component architecture to design high performance scientific simulation codes. Proceedings of the International Parallel and Distributed Processing Symposium, Nice, France, 2003.
12. Jacob R, Schafer C, Foster I, Tobis M, Anderson J. Conceptual design and performance of the fast ocean atmosphere model, version one. Proceedings of the International Conference on Computational Science (ICCS) (Lecture Notes in Computer Science, vol. 2073), Alexandrov VN, Dongarra JJ, Juliano BA, Renner RS. Tan CJK (eds.). Springer: Berlin. 2001;175-184.
13. Larson J, Jacob R, Ong E. Model Coupling Toolkit Web site. http://www.mcs.anl.gov/mct [12 September 2005].
14. Geist A, Kohl J, Papadopoulos P. CUMULVS: Providing fault tolerance, visualization and steering of parallel applications. The International Journal of High Performance Computing Applications 1997; 11(3):224-236.
15. Classic interface definition. http://www.cca-forum.org/bindings/classic [12 September 2005].
16. Babel Web site. http://www.llnl.gov/CASC/components [12 September 2005].
17. Dahlgren T, Epperly T, Kumfert G. Babel User's Guide (0.8 edn). CASC, Lawrence Livermore National Laboratory, Livermore, CA, January 2003.
18. Rasmussen C, Lindlan K, Mohr B, Striegnitz J. Chasm: Static analysis and automatic code generation for improved Fortran 90 and C++ interoperability. Proceedings of the Los Alamos Computer Science Symposium. Los Alamos National Laboratory: Los Alamos, NM, 2001.
19. Scientific Discovery through Advanced Computing (SciDAC) Initiative Web site. http://www.scidac.org [12 September 2005].
20. ASCI Web site. http://www.sandia.gov/NNSA/ASC [12 September 2005].
21. Falgout RD, Yang UM. hypre: a library of high performance preconditioners. Computational Science - ICCS 2002 Part III (Lecture Notes in Computer Science, vol. 2331), Sloot PMA, Tan CJK, Dongarra JJ, Hoekstra AG (eds.). Springer: Berlin, 2002; 632-661.
22. Kohn S, Kumfert G, Painter J, Ribbens C. Divorcing language dependencies from a scientific software library. Proceedings of the 10th SIAM Conference on Parallel Processing, Portsmouth, VA, March 2001.
23. Bernholdt DE, Elwasif WR, Kohl JA, Epperly TGW. A component architecture for high-performance computing. Proceedings of the Workshop on Performance Optimization via High-Level Languages (POHLL-02), New York, June 2002. Available at: http://www.ece.lsu.edu/jxr/ics02workshop.html [12 September 2005].
24. Damevski K, Parker S. Parallel remote method invocation and m-by-n data redistribution. Proceedings of the 4th Los Alamos Computer Science Symposium, October 2003. Los Alamos National Laboratory: Los Alamos, NM, 2003.
25. Common Component Architecture Forum. See http://www.cca-forum.org [12 September 2005].
26. Harrison R, et al. NWChem: A computational chemistry package for parallel computers, version 4.0.1. Technical Report, Pacific Northwest National Laboratory, 2001. Available at: http://www.emsl.pnl.gov/docs/nwchem/nwchem.html [12 September 2005).
27. Janssen C, Seidl E, Colvin M. Object-oriented implementation of ab initio programs. Parallel Computers in Computational Chemistry (ACS Symposium Series, vol. 592). ACS: Washington, DC, 1995.
28. Benson S, Krishnan M, McInnes L, Nieplocha J, Sarich J. Using the GA and TAO toolkits for solving large-scale optimization problems on parallel computers. Technical Report ANL/MCS-P1084-0903, Argonne National Laboratory, 2003.
29. Averick BM, Carter RG, Moré JJ. The MINPACK-2 test problem collection. Technical Report ANUMCS-TM-150, Argonne National Laboratory, 1991.
30. Norris B, Balay S, Benson S, Freitag L, Hovland P, McInnes L, Smith B. Parallel components for PDEs and optimization: Some issues and experiences. Parallel Computing 2002; 28:1811-1831.
31. Benson S, McInnes LC, Moré J. A case study in the performance and scalability of optimization algorithms. ACM Transactions on Mathematical Software 2001; 27:361-376.
32. Benson S, McInnes LC, Moré J, Sarich J. TAO users manual. Technical Report ANL/MCS-TM-242 - Revision 1.5, Argonne National Laboratory, 2003. Available at: http://www.mcs.anl.gov/tao [12 September 2005].