Abstract
The Numerical Algorithms Group Ltd is currently participating in the European HPCN Fourth Framework project on Parallel Industrial NumErical Applications and Portable Libraries (PINEAPL). One of the main goals of the project is to increase the suitability of the existing NAG Parallel Library for dealing with computationally intensive industrial applications by appropriately extending the range of library routines. Additionally, several industrial applications are being ported onto parallel computers within the PINEAPL project by replacing sequential code sections with calls to appropriate parallel library routines.
A substantial part of the library material being developed is concerned with the solution of PDE problems using parallel sparse linear algebra modules. This paper outlines the scope of these modules and illustrates performance results. Most of the software described in this paper has been incorporated into the recently launched Release 1 of the PINEAPL Library.
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D. di Serafino, L. Maddalena, A. Murli, PINEAPL: A European Project to Develop a Parallel Numerical Library for Industrial Applications, in “Euro-Par’97 Parallel Processing” (C. Lengauer, M. Griebl, S. Gorlatch, Eds.), Vol. 1300 of Lecture Notes in Computer Science, Springer-Verlag, Berlin, 1997, pp. 1333–1339.
M. T. Jones, P. E. Plassman, Scalable Iterative Solution of Sparse Linear Systems, Parallel Computing 20 (1994), pp. 753–773.
G. Karypis, V. Kumar, Multilevel k-Way Partitioning Scheme for Irregular Graphs, Technical Report TR-95-064, Department of Computer Science, University of Minnesota, 1995.
G. Karypis, V. Kumar, Parallel Treshold-Based ILU Factorization, Technical Report TR-96-061, Department of Computer Science, University of Minnesota, 1996.
A. Krommer, M. Derakhshan, S. Hammarling, Solving PDE Problems on Parallel and Distributed Computer Systems Using the NAG Parallel Library, in “High-Performance Computing and Networking” (B. Hertzberger, P. Sloot, Eds.), Vol. 1225 of Lecture Notes in Computer Science, Springer-Verlag, Berlin, 1997, pp. 440–451.
S. Salvini, G. Shaw, An Evaluation of New NAG Library Solvers for Large Sparse Unsymmetric Linear Systems. Technical Report TR2/96, The Numerical Algorithms Group Ltd, Wilkinson House, Jordan Hill Road, Oxford OX2 8DR, UK, 1996.
B. Smith, P. Bjorstad, W. Gropp, Domain Decomposition: Parallel Multilevel Methods for Elliptic Partial Differential Equations, Cambridge University Press, Cambridge, 1996.
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© 1998 Springer-Verlag Berlin Heidelberg
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Krommer, A.R. (1998). Parallel sparse matrix computations in the industrial strength PINEAPL library. In: Kågström, B., Dongarra, J., Elmroth, E., Waśniewski, J. (eds) Applied Parallel Computing Large Scale Scientific and Industrial Problems. PARA 1998. Lecture Notes in Computer Science, vol 1541. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095347
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DOI: https://doi.org/10.1007/BFb0095347
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