The Paderborn University BSP (PUB) library
O. Bonorden, B. Juurlink, I. von Otte, I. Rieping, Parallel Computing (2003) 187–207.
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Journal Article
| Published
| English
Author
Bonorden, Olaf;
Juurlink, Bernhardus;
von Otte, Ingo;
Rieping, Ingo
Abstract
The Paderborn University BSP (PUB) library is a C communication library based on the BSP model. The basic library supports buffered as well as unbuffered non-blocking communication between any pair of processors and a mechanism for synchronizing the processors in a barrier style. In addition, PUB provides non-blocking collective communication operations on arbitrary subsets of processors, the ability to partition the processors into independent groups that execute asynchronously from each other, and a zero-cost synchronization mechanism. Furthermore, some techniques used in the implementation of the PUB library deviate significantly from the techniques used in other BSP libraries.
Publishing Year
Journal Title
Parallel Computing
Page
187-207
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Cite this
Bonorden O, Juurlink B, von Otte I, Rieping I. The Paderborn University BSP (PUB) library. Parallel Computing. 2003:187-207. doi:10.1016/s0167-8191(02)00218-1
Bonorden, O., Juurlink, B., von Otte, I., & Rieping, I. (2003). The Paderborn University BSP (PUB) library. Parallel Computing, 187–207. https://doi.org/10.1016/s0167-8191(02)00218-1
@article{Bonorden_Juurlink_von Otte_Rieping_2003, title={The Paderborn University BSP (PUB) library}, DOI={10.1016/s0167-8191(02)00218-1}, journal={Parallel Computing}, author={Bonorden, Olaf and Juurlink, Bernhardus and von Otte, Ingo and Rieping, Ingo}, year={2003}, pages={187–207} }
Bonorden, Olaf, Bernhardus Juurlink, Ingo von Otte, and Ingo Rieping. “The Paderborn University BSP (PUB) Library.” Parallel Computing, 2003, 187–207. https://doi.org/10.1016/s0167-8191(02)00218-1.
O. Bonorden, B. Juurlink, I. von Otte, and I. Rieping, “The Paderborn University BSP (PUB) library,” Parallel Computing, pp. 187–207, 2003.
Bonorden, Olaf, et al. “The Paderborn University BSP (PUB) Library.” Parallel Computing, 2003, pp. 187–207, doi:10.1016/s0167-8191(02)00218-1.
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