%0 Journal Article %1 journals/cars/NeylonMKLS17 %A Neylon, John %A Min, Yugang %A Kupelian, Patrick %A Low, Daniel %A Santhanam, Anand P. %D 2017 %J Int. J. Comput. Assist. Radiol. Surg. %K dblp %N 4 %P 669-680 %T Analytical modeling and feasibility study of a multi-GPU cloud-based server (MGCS) framework for non-voxel-based dose calculations. %U http://dblp.uni-trier.de/db/journals/cars/cars12.html#NeylonMKLS17 %V 12

@article{journals/cars/NeylonMKLS17, added-at = {2019-07-11T00:00:00.000+0200}, author = {Neylon, John and Min, Yugang and Kupelian, Patrick and Low, Daniel and Santhanam, Anand P.}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/20ae86d69d0bd67158d97a996476ab6b2/dblp}, ee = {https://www.wikidata.org/entity/Q39456287}, interhash = {7f3d5304b84aae823f71798523bff438}, intrahash = {0ae86d69d0bd67158d97a996476ab6b2}, journal = {Int. J. Comput. Assist. Radiol. Surg.}, keywords = {dblp}, number = 4, pages = {669-680}, timestamp = {2019-09-27T10:28:43.000+0200}, title = {Analytical modeling and feasibility study of a multi-GPU cloud-based server (MGCS) framework for non-voxel-based dose calculations.}, url = {http://dblp.uni-trier.de/db/journals/cars/cars12.html#NeylonMKLS17}, volume = 12, year = 2017 }