The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
MPI for Python
Open accessAbstract
MPI for Python provides bindings of the Message Passing Interface (MPI) standard for the Python programming language and allows any Python program to exploit multiple processors. This package is constructed on top of the MPI-1 specification and defines an object-oriented interface which closely follows MPI-2 C++bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of general Python objects. Efficiency has been tested in a Beowulf class cluster and satisfying results were obtained. MPI for Python is open source and available for download on the web (http://www.cimec.org.ar/python).
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Cites
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Forum, M. P. (1994) · Cited by 2,703
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Gropp, W., Lusk, E., Doss, N., & Skjellum, A. (1996) · Parallel Computing · doi:10.1016/0167-8191(96)00024-5 · Cited by 2,222
Efficient Management of Parallelism in Object-Oriented Numerical Software Libraries
Balay, S., Gropp, W. D., McInnes, L. C., & Smith, B. F. (1997) · Modern Software Tools for Scientific Computing · doi:10.1007/978-1-4612-1986-6_8 · Cited by 2,009
Open MPI: Goals, Concept, and Design of a Next Generation MPI Implementation
Gabriel, E., Fagg, G. E., Bosilca, G., Angskun, T., Dongarra, J. J., Squyres, J. M., Sahay, V., Kambadur, P., Barrett, B., Lumsdaine, A., et al. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-30218-6_19 · Cited by 1,591
Modern software tools for scientific computing
(1997) · Choice Reviews Online · doi:10.5860/choice.35-1575 · Cited by 510
Modern Software Tools for Scientific Computing
Arge, E., Bruaset, A. M., & Langtangen, H. P. (1997) · Birkhäuser Boston eBooks · doi:10.1007/978-1-4612-1986-6 · Cited by 377
The molecular modeling toolkit: A new approach to molecular simulations
Hinsen, K. (2000) · Journal of Computational Chemistry · doi:10.1002/(sici)1096-987x(20000130)21:2<79::aid-jcc1>3.0.co;2-b · Cited by 349
Cited by
PyCUDA and PyOpenCL: A scripting-based approach to GPU run-time code generation
Klöckner, A., Pinto, N., Lee, Y., Catanzaro, B., Ivanov, P., & Fasih, A. (2012) · Parallel Computing · doi:10.1016/j.parco.2011.09.001 · Cited by 573
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning
So, J., Guler, B., & Avestimehr, A. S. (2021) · IEEE Journal on Selected Areas in Information Theory · doi:10.1109/jsait.2021.3054610 · Cited by 318
Proceedings of the 19th Python in Science Conference
(2020) · Proceedings of the Python in Science Conference · doi:10.25080/majora-342d178e-02b · Cited by 284
quimb: A python package for quantum information and many-body calculations
Gray, J. (2018) · Journal of Open Source Software · doi:10.21105/joss.00819 · Cited by 172
RNA folding using quantum computers
Fox, D. M., MacDermaid, C. M., Schreij, A. M. A., Zwierzyna, M., & Walker, R. C. (2022) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1010032 · Cited by 33
Metadata
- Authors
- Dalcín, L., Paz, R., & Storti, M.
- Venue
- Journal of Parallel and Distributed Computing
- Publisher
- Elsevier BV
- Published
- 2005-09
- Volume
- 65
- Issue
- 9
- Pages
- 1108-1115
- ISSN
- 0743-7315 (ISSN-L)
- OpenAlex
- W2059919683
- Cited by
- 408
- References
- 8
- FWCI
- 2.63
- Type
- journal article
- Language
- en
- Open access
- bronze
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
