Space Filling Curves: Heuristics For Semi Classical Lasing Computations

@inproceedings{gosURSI19,
  author = {Rohit Goswami and Amrita Goswami and Debabrata Goswami},
  booktitle = {2019 URSI Asia-Pacific Radio Science Conference (AP-RASC)},
  title = {Space Filling Curves: Heuristics For Semi Classical Lasing
                  Computations},
  date = {2019},
  pages = {1-4},
  abstract = {For semi classical lasing, the FDTD (finite difference time
                  domain) formulation including nonlinearities is often used. We
                  determine the computational efficiency of such schemes
                  quantitatively and present a hueristic based on space filling
                  curves to minimize complexity. The sparse matrix kernel is
                  shown to be optimized by the utilization of Bi-directional
                  Incremental Compressed Row Storage (BICRS). Extensions to high
                  performance clusters and parallelization are also derived.},
  keywords = {conference},
  doi = {10.23919/URSIAP-RASC.2019.8738612},
  month = {3},
}