TY - GEN
T1 - Distributed high-performance parallel mesh generation with ViennaMesh
AU - Rodríguez, Jorge
AU - Weinbub, Josef
AU - Pahr, Dieter
AU - Rupp, Karl
AU - Selberherr, Siegfried
PY - 2013
Y1 - 2013
N2 - The ever-growing demand for higher accuracy in scientific simulations based on the discretization of equations given on physical domains is typically coupled with an increase in the number of mesh elements. Conventional mesh generation tools struggle to keep up with the increased workload, as they do not scale with the availability of, for example, multi-core CPUs. We present a parallel mesh generation approach for multi-core and distributed computing environments based on our generic meshing library ViennaMesh and on the Advancing Front mesh generation algorithm. Our approach is discussed in detail and performance results are shown.
AB - The ever-growing demand for higher accuracy in scientific simulations based on the discretization of equations given on physical domains is typically coupled with an increase in the number of mesh elements. Conventional mesh generation tools struggle to keep up with the increased workload, as they do not scale with the availability of, for example, multi-core CPUs. We present a parallel mesh generation approach for multi-core and distributed computing environments based on our generic meshing library ViennaMesh and on the Advancing Front mesh generation algorithm. Our approach is discussed in detail and performance results are shown.
UR - http://www.scopus.com/inward/record.url?scp=84874217731&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-36803-5_44
DO - 10.1007/978-3-642-36803-5_44
M3 - Contribution to conference proceeding
AN - SCOPUS:84874217731
SN - 9783642368028
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 548
EP - 552
BT - Applied Parallel and Scientific Computing - 11th International Conference, PARA 2012, Revised Selected Papers
T2 - 11th International Conference on Applied Parallel and Scientific Computing, PARA 2012
Y2 - 10 June 2012 through 13 June 2012
ER -