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T. Hoefler, P. Gottschling, A. Lumsdaine and W. Rehm:
	Optimizing a Conjugate Gradient Solver with Non-Blocking Collective Operations (Elsevier Journal of Parallel Computing (PARCO). Vol 33, Nr. 9, pages 624-633, Elsevier, ISSN: 0167-8191, Sep. 2007) Abstract This paper presents a case study that analyzes the suitability and usage of non-blocking collective operations in parallel applications. As with their point-to-point counterparts, non-blocking collective operations provide the ability to overlap communication with computation and to avoid unnecessary synchronization. These operations are provided for MPI programs with LibNBC, a portable low-overhead implementation of non-blocking collective operations built on MPI-1. The straightforward applicability of the LibNBC is demonstrated by incorporating non-blocking collective operations into a parallel conjugate gradient solver. Although only minor changes are required to use them, non-blocking collective operations allow most of the communication costs to be hidden and provide performance improvements of up to 34%. We also show that, because of overlap, there is no significant performance difference between Gigabit Ethernet and InfiniBandTM for special cases of our calculation. Documents download article:
	BibTeX
@article{hoefler-app-parco,   author={T. Hoefler and P. Gottschling and A. Lumsdaine and W. Rehm},   title={{Optimizing a Conjugate Gradient Solver with Non-Blocking Collective Operations}},   journal={Elsevier Journal of Parallel Computing (PARCO)},   year={2007},   month={Sep.},   pages={624-633},   volume={33},   number={9},   publisher={Elsevier},   issn={0167-8191},   source={http://www.unixer.de/~htor/publications/}, }