%0 Book Section %1 nehmeierPara2012 %A Beck, Philip-Daniel %A Nehmeier, Marco %B Applied Parallel and Scientific Computing %D 2013 %E Manninen, Pekka %E Öster, Per %I Springer Berlin Heidelberg %K descartes Reliability %P 454-464 %T Parallel Interval Newton Method on CUDA %U http://dx.doi.org/10.1007/978-3-642-36803-5_34 %V 7782 %X In this paper we discuss a parallel variant of the interval Newton method for root finding of non linear continuously differentiable functions on the CUDA architecture. For this purpose we have investigated different dynamic load balancing methods to get an evenly balanced workload during the parallel computation. We tested the functionality, correctness and performance of our implementation in different case studies and compared it with other implementations.

@incollection{nehmeierPara2012, abstract = {In this paper we discuss a parallel variant of the interval Newton method for root finding of non linear continuously differentiable functions on the CUDA architecture. For this purpose we have investigated different dynamic load balancing methods to get an evenly balanced workload during the parallel computation. We tested the functionality, correctness and performance of our implementation in different case studies and compared it with other implementations.}, added-at = {2020-04-05T23:20:41.000+0200}, author = {Beck, Philip-Daniel and Nehmeier, Marco}, biburl = {https://www.bibsonomy.org/bibtex/2345a78b3555558aeef04539603ca59b6/se-group}, booktitle = {Applied Parallel and Scientific Computing}, editor = {Manninen, Pekka and {\"O}ster, Per}, interhash = {cb524866e5eaba45f0674f00107c4b11}, intrahash = {345a78b3555558aeef04539603ca59b6}, keywords = {descartes Reliability}, pages = {454-464}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2020-05-13T11:58:01.000+0200}, title = {{P}arallel {I}nterval {N}ewton {M}ethod on {CUDA}}, url = {http://dx.doi.org/10.1007/978-3-642-36803-5_34}, volume = 7782, year = 2013 }