Abstract
Scientific computing on massively parallel computers presents unique challenges to component-based software engineering (CBSE). While CBSE is at least as enabling for scientific computing as it is for other arenas, the requirements are different. We briefly discuss how these requirements shape the Common Component Architecture, and we describe some recent research on quality-of-service issues to address the computational performance and accuracy of scientific simulations.
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References
Keahey, K., Beckman, P., Ahrens, J.: Ligature: Component architecture for high performance applications. The International Journal of High Performance Computing Applications 14, 347–356 (2000)
Pérez, C., Priol, T., Ribes, A.: A parallel CORBA component model for numerical code coupling. International Journal of High Performance Computing Applications (IJHPCA) 17 (2003)
Allen, G., Benger, W., Goodale, T., Hege, H.C., Lanfermann, G., Merzky, A., Radke, T., Seidel, E., Shalf, J.: The Cactus code:A problem solving environment for the Grid. In: High Performance Distributed Computing (HPDC), pp. 253–260. IEEE Computer Society, Los Alamitos (2000)
Anonymous: Earth System Modeling Framework, ESMF (2004), http://sdcd.gsfc.nasa.gov/ESS/esmf_tasc/
Guilyardi, E., Budich, R.G., Valcke, S.: PRISM and ENES: European Approaches to Earth System Modelling. In: Proceedings of Realizing TeraComputing - Tenth Workshop on the Use of High Performance Computing in Meteorology (2002)
Common Component Architecture Forum: Common Component Architecture, CCA (2004), http://www.cca-forum.org
D.E.B., et al.: A component architecture for high-performance scientific computing. Intl. J. High Perf. Comp. Appl. (submitted to ACTS Collection special issue)
Bernholdt, D.E., Elwasif, W.R., Kohl, J.A., Epperly, T.G.W.: A component architecture for high-performance computing. In: Proceedings of theWorkshop on Performance Optimization via High-Level Languages (POHLL 2002), NewYork, NY (2002)
Forum, M.P.I.: MPI: a message-passing interface standard. International Journal of Supercomputer Applications and High Performance Computing 8, 159–416 (1994)
Bernholdt, D.E., Armstrong, R.C., Allan, B.A.: Managing complexity in modern high end scientific computing through component-based software engineering. In: Proc. of HPCA Workshop on Productivity and Performance in High-End Computing (P-PHEC 2004), Madrid, Spain, IEEE Computer Society, Los Alamitos (2004)
Hovland, P., Keahey, K., McInnes, L.C., Norris, B., Diachin, L.F., Raghavan, P.: A quality of service approach for high-performance numerical components. In: Proceedings ofWorkshop on QoS in Component-Based Software Engineering, Software Technologies Conference, Toulouse, France (2003)
Shende, S., Malony, A.D., Rasmussen, C., Sottile, M.: A Performance Interface for Component-Based Applications. In: Proceedings of InternationalWorkshop on Performance Modeling, Evaluation and Optimization, International Parallel and Distributed Processing Symposium (2003)
Ray, J., Trebon, N., Shende, S., Armstrong, R.C., Malony, A.: Performance measurement and modeling of component applications in a high performance computing environment: A case study. Technical Report SAND2003-8631, Sandia National Laboratories, Accepted, 18th International Parallel and Distributed Computing Symposium, Santa Fe, NM (2003)
McInnes, L., Norris, B., Bhowmick, S., Raghavan, P.: Adaptive sparse linear solvers for implicit CFD using Newton-Krylov algorithms. In: Proceedings of the Second MIT Conference on Computational Fluid and Solid Mechanics (2003)
Larson, J., Norris, B., Ong, E., Bernholdt, D., Drake, J., Elwasif, W., Ham, M., Rasmussen, C., Kumfert, G., Katz, D., Zhou, S., DeLuca, C., Collins, N.: Components, the common component architecture, and the climate/weather/ocean community. Submitted to AMS 2004 (2003)
Lefantzi, S., Ray, J.: A component-based scientific toolkit for reacting flows. In: Proceedings of the Second MIT Conference on Computational Fluid and Solid Mechanics, Elsevier Science, Boston (2003)
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); submitted to ACM Transactions on Mathematical Software
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Norris, B. et al. (2004). Computational Quality of Service for Scientific Components. In: Crnkovic, I., Stafford, J.A., Schmidt, H.W., Wallnau, K. (eds) Component-Based Software Engineering. CBSE 2004. Lecture Notes in Computer Science, vol 3054. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24774-6_23
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DOI: https://doi.org/10.1007/978-3-540-24774-6_23
Publisher Name: Springer, Berlin, Heidelberg
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