Abstract | ||
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This paper presents a parallel implementation of the fast isogeometric solvers for explicit dynamics for solving non-stationary time-dependent problems. The algorithm is described in pseudo-code. We present theoretical estimates of the computational and communication complexities for a single time step of the parallel algorithm. The computational complexity is O(p(6)N/c t(comp)) and communication complexity is O(p(6)N/c(2/3) t(comp)) where p denotes the polynomial order of B-spline basis with CP-1 global continuity, N denotes the number of elements and c is number of processors forming a cube, t(comp) refers to the execution time of a single operation, and tcomn, refers to the time of sending a single datum. We compare theoretical estimates with numerical experiments performed on the LONESTAR Linux cluster from Texas Advanced Computing Center, using 1 000 processors. We apply the method to solve nonlinear flows in highly heterogeneous porous media. |
Year | DOI | Venue |
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2017 | 10.4149/cai_2017_2_423 | COMPUTING AND INFORMATICS |
Keywords | Field | DocType |
Isogeometric finite element method,alternating direction solver,fast parallel solver,non-stationary problems,nonlinear flows in highly-heterogeneous porous media | Geodetic datum,Nonlinear system,Polynomial,Parallel algorithm,Computer science,Parallel computing,Theoretical computer science,Communication complexity,Computer cluster,Cube,Computational complexity theory | Journal |
Volume | Issue | ISSN |
36 | 2 | 1335-9150 |
Citations | PageRank | References |
2 | 0.47 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
M. Wozniak | 1 | 27 | 7.48 |
Marcin Los | 2 | 18 | 4.56 |
Maciej Paszynski | 3 | 193 | 36.89 |
Lisandro Dalcín | 4 | 128 | 18.25 |
Victor M. Calo | 5 | 191 | 38.14 |