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Efficient Management of Parallelism in Object-Oriented Numerical Software Libraries
Abstract
Parallel numerical software based on the message passing model is enormously complicated. This paper introduces a set of techniques to manage the complexity, while maintaining high efficiency and ease of use. The PETSc 2.0 package uses object-oriented programming to conceal the details of the message passing, without concealing the parallelism, in a high-quality set of numerical software libraries. In fact, the programming model used by PETSc is also the most appropriate for NUMA shared-memory machines, since they require the same careful attention to memory hierarchies as do distributed-memory machines. Thus, the concepts discussed are appropriate for all scalable computing systems. The PETSc libraries provide many of the data structures and numerical kernels required for the scalable solution of PDEs, offering performance portability. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Cited by
Optimization of sparse matrix-vector multiplication on emerging multicore platforms
Williams, S., Oliker, L., Vuduc, R., Shalf, J., Yelick, K., & Demmel, J. (2007) · Proceedings of the 2007 ACM/IEEE conference on Supercomputing · doi:10.1145/1362622.1362674 · Cited by 791
Gosselin, M.-C., Neufeld, E., Moser, H., Huber, E., Farcito, S., Gerber, L., Jedensjö, M., Hilber, I., Gennaro, F. D., Lloyd, B., et al. (2014) · Physics in Medicine and Biology · doi:10.1088/0031-9155/59/18/5287 · Cited by 520
OSKI: A library of automatically tuned sparse matrix kernels
Vuduc, R., Demmel, J. W., & Yelick, K. A. (2005) · Journal of Physics: Conference Series · doi:10.1088/1742-6596/16/1/071 · Cited by 490
Chaste: An Open Source C++ Library for Computational Physiology and Biology
Mirams, G. R., Arthurs, C. J., Bernabeu, M. O., Bordas, R., Cooper, J., Corrias, A., Davit, Y., Dunn, S.-J., Fletcher, A. G., Harvey, D. G., et al. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002970 · Cited by 423
Griffith, B. E., & Peskin, C. S. (2005) · Journal of Computational Physics · doi:10.1016/j.jcp.2005.02.011 · Cited by 299
Metadata
- Authors
- Balay, S., Gropp, W. D., McInnes, L. C., & Smith, B. F.
- Venue
- Modern Software Tools for Scientific Computing
- Publisher
- Birkhäuser Boston
- Published
- 1997
- Pages
- 163-202
- OpenAlex
- W1569090332
- Cited by
- 2,009
- References
- 0
- FWCI
- 53.18
- Type
- book chapter
- Language
- en
- Open access
- closed
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- Balay, S., Gropp, W. D., McInnes, L. C., & Smith, B. F. (1997). Efficient Management of Parallelism in Object-Oriented Numerical Software Libraries. Modern Software Tools for Scientific Computing. https://doi.org/10.1007/978-1-4612-1986-6_8
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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