Geodesic
Benchmarking aggregation AMG for linear systems in CFD simulations of compressible internal flows
Electronic transactions on numerical analysis, Tome 37 (2010), pp. 351-366.

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Summary: The performance of parallel implementations of three fundamentally different aggregation AMG (algebraic multigrid) solvers, including novel k-cycle methods, for systems of linear equations appearing in industrial CFD simulations are examined. The results show that the k-cycle methods are a good choice for cases with less than 20000 unknowns per process if the cost of the setup tends to become critical; for most other applications, however, established methods proved to be equally efficient or superior.
Classification : 15A06, 65F08, 76G25
Keywords: algebraic multigrid, fluid dynamics, finite volumes, pressure-velocity coupling 
@article{ETNA_2010__37__a3,
     author = {Emans, Maximilian},
     title = {Benchmarking aggregation {AMG} for linear systems in {CFD} simulations of compressible internal flows},
     journal = {Electronic transactions on numerical analysis},
     pages = {351--366},
     publisher = {mathdoc},
     volume = {37},
     year = {2010},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/ETNA_2010__37__a3/}
}
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Emans, Maximilian. Benchmarking aggregation AMG for linear systems in CFD simulations of compressible internal flows. Electronic transactions on numerical analysis, Tome 37 (2010), pp. 351-366. http://geodesic.mathdoc.fr/item/ETNA_2010__37__a3/