An immersed boundary energy-based method for incompressible viscoelasticity

Autor: Devendran, Dharshi ^⁎, Peskin, Charles S.

Publikováno v: In Journal of Computational Physics 20 May 2012 231(14):4613-4642

Hybrid Multigrid for Adaptive Fourth Order Cut Cells

Autor: Devendran, Dharshi, Graves, Daniel T., Johansen, Hans

Publikováno v: Devendran, Dharshi; Graves, Daniel T.; & Johansen, Hans. (2014). Hybrid Multigrid for Adaptive Fourth Order Cut Cells:. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/6k5203m1

We present a hybrid geometric-algebraic multigrid approach for solving Poisson's equation on domains with complex geometries. The discretization uses a novel fourth-order finite volume cut cell representation to discretize the Laplacian operator on a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______325::436512d9aeedf29e04937a98674256bb
http://www.escholarship.org/uc/item/6k5203m1

AMRZone: A Runtime AMR Data Sharing Framework for Scientific Applications.

Autor: Zhang, Wenzhao, Tang, Houjun, Harenberg, Steve, Byna, Surendra, Zou, Xiaocheng, Devendran, Dharshi, Martin, Daniel F., Wu, Kesheng, Dong, Bin, Klasky, Scott, Samatova, Nagiza F.

Publikováno v: 2016 16th IEEE/ACM International Symposium on Cluster, Cloud & Grid Computing (CCGrid); 2016, p116-125, 10p