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Software SAMG for the acceleration of groundwater simulations now available with new license model

16.05.2012
The software package SAMG was developed for highly efficient, numerical solutions of large, sparsely populated matrix problems.

Problems of this type can be found in several application domains, e.g. in simulations of oil reservoirs, automotive design and also simulations relevant for environmental analyses, such as groundwater flow. SAMG is developed by the Fraunhofer Institute for Algorithms and Scientific Computing (SCAI).

The software package SAMG was developed for highly efficient, numerical solutions of large, sparsely populated matrix problems. Problems of this type can be found in several application domains, e.g. in simulations of oil reservoirs, automotive design and also simulations relevant for environmental analyses, such as groundwater flow. SAMG is developed by the Fraunhofer Institute for Algorithms and Scientific Computing (SCAI).

The MODFLOW software from the U.S. Geological Survey (USGS) organization simulates flows in groundwater reservoirs, to show transport and diffusion of certain materials (e.g. pollutants). The combination of SAMG and MODFLOW accelerates groundwater simulations enormously. The gain in computation time in solving large systems can be of orders of magnitude. This makes the software the first choice for companies and those seeking to optimize use of computing resources.

The SAMG-MODFLOW package now available online includes the SAMG Library (dll) customized for MODFLOW, MODFLOW 2005 linked to the SAMG Library, documentation, test models as well as an interface description to allow users to link SAMG to their MODFLOW variant.

A 30-day evaluation license for SAMG for MODFLOW is available at no cost and until June 30, 2012, there is a 30% discount on both the research and regular licenses. MODFLOW itself remains of course free of charge. Please visit the online shop of SCAI´s sales spin-off scapos AG under www.scapos.com

Michael Krapp | Fraunhofer-Institut
Further information:
http://www.scai.fraunhofer.de/samg

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