Abstract
In this paper we examine the performance of parallel approximate inverse preconditioning for solving finite element systems, using a variety of clusters containing the Message Passing Interface (MPI) communication library, the Globus toolkit and the Open MPI open-source software. The techniques outlined in this paper contain parameters that can be varied so as to tune the execution to the underlying platform. These parameters include the number of CPUs, the order of the linear system (n) and the “retention parameter” (δ l) of the approximate inverse used as a preconditioner. Numerical results are presented for solving finite element sparse linear systems on platforms with various CPU types and number, different compilers, different File System types, different MPI implementations and different memory sizes.
Similar content being viewed by others
References
Buyya R (1999) High performance cluster computing: architectures and systems, vol 1. Prentice-Hall
Foster I, Kesselman C (2005) The grid: blueprint for a new computing infrastructure. Morgan Kaufmann
Foster I, Kesselman C (1997) Globus: a metacomputing infrastructure toolkit. Int J Supercomput Appl 11(2):115–128
Foster I, Kesselman C, Tuecke S (2001) The anatomy of the grid: enabling scalable virtual organizations. Int J High Perform Comput Appl 15(3):200–222
Gabriel E, Fagg GE, Bosilca G, Angskun T, Dongarra JJ, Squyres JM, Sahay V, Kambadur P, Barrett B, Lumsdaine A, Castain RH, Daniel DJ, Graham RL, Timothy S (2004) Open MPI: goals, concept, and design of a next generation MPI implementation, Woodall. In: Proceedings, 11th European PVM/MPI users’ group meeting, Budapest, Hungary, September 2004
Gravvanis GA (1998) Parallel matrix techniques. In: Papailiou K, Tsahalis D, Periaux J, Hirsch C, Pandolfi M (eds) Computational fluid dynamics. Wiley, vol I, pp 472–477
Gravvanis GA, Giannoutakis KM (2004) Normalized explicit finite element approximate inverse preconditioning. Int J Comput Struct 82(28):2377–2388
Gravvanis GA, Giannoutakis KM (2004) Parallel approximate finite element inverse preconditioning on distributed systems. In: Proceedings of the third international symposium on parallel and distributed computing 2004 (ISPDC 2004) and the third international workshop on algorithms, models and tools for parallel computing on heterogeneous networks (HeteroPar 2004). IEEE Computer Society Press, IEEE, pp 277–283
Gravvanis GA, Giannoutakis KM, Bekakos MP (2004) Parallel finite element approximate inverse preconditioning on symmetric multiprocessor systems. In: Proceedings of the international conference on parallel and distributed processing techniques and applications, Arabnia HR (ed). CSREA Press, vol I, pp 168–175
Gropp W, Lusk E, Doss N, Skjellum A (1996) A high-performance, portable implementation of the MPI message passing interface standard. Parallel Comput J 22(6):789–828
Karohis NT, Toonen B, Foster I (2003) MPICH-G2: A grid-enabled implementation of the message passing interface. J Parallel Distrib Comput 63(5):551–563
Lipitakis EA (1989) Numerical solution of three-dimensional boundary-value problems by generalized approximate inverse matrix techniques. Int J Comput Math 31:69–89
Lipitakis EA (1983) A normalized sparse linear equation solver. J Comput Appl Math 9:287–298
Lipitakis EA, Evans DJ (1987) Explicit semi-direct methods based on approximate inverse matrix techniques for solving boundary value problems on parallel processors. Math Comput Simul 29:1–17
Lipitakis EA, Evans DJ (1984) Solving linear finite element systems by normalized approximate matrix factorization semi-direct methods. Comput Method Appl Mech Eng 43:1–19
Lipitakis EA, Gravvanis GA (1992) A class of explicit preconditioned conjugate gradient methods for solving large finite element systems. Int J Comput Math 44:189–206
Morrison JP, Coghlan B, Shearer A, Foley S, Power DA, Perrott R (2006) WebCom-G: a candidate middleware for grid-Ireland, accepted for publication, Int J High Perform Comput Appl
Open MPI, http://www.open-mpi.org/
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Giannoutakis, K.M., Gravvanis, G.A., Clayton, B. et al. Matching high performance approximate inverse preconditioning to architectural platforms. J Supercomput 42, 145–163 (2007). https://doi.org/10.1007/s11227-007-0129-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11227-007-0129-1