Research output: Contribution to journal › Article › peer-review
Numerical approaches to simulation of multi-core fibers. / Chekhovskoy, I. S.; Paasonen, V. I.; Shtyrina, O. V. et al.
In: Journal of Computational Physics, Vol. 334, 01.04.2017, p. 31-44.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Numerical approaches to simulation of multi-core fibers
AU - Chekhovskoy, I. S.
AU - Paasonen, V. I.
AU - Shtyrina, O. V.
AU - Fedoruk, M. P.
N1 - Publisher Copyright: © 2016 Elsevier Inc.
PY - 2017/4/1
Y1 - 2017/4/1
N2 - We propose generalizations of two numerical algorithms to solve the system of linearly coupled nonlinear Schrödinger equations (NLSEs) describing the propagation of light pulses in multi-core optical fibers. An iterative compact dissipative second-order accurate in space and fourth-order accurate in time scheme is the first numerical method. This compact scheme has strong stability due to inclusion of the additional dissipative term. The second algorithm is a generalization of the split-step Fourier method based on Padé approximation of the matrix exponential. We compare a computational efficiency of both algorithms and show that the compact scheme is more efficient in terms of performance for solving a large system of coupled NLSEs. We also present the parallel implementation of the numerical algorithms for shared memory systems using OpenMP.
AB - We propose generalizations of two numerical algorithms to solve the system of linearly coupled nonlinear Schrödinger equations (NLSEs) describing the propagation of light pulses in multi-core optical fibers. An iterative compact dissipative second-order accurate in space and fourth-order accurate in time scheme is the first numerical method. This compact scheme has strong stability due to inclusion of the additional dissipative term. The second algorithm is a generalization of the split-step Fourier method based on Padé approximation of the matrix exponential. We compare a computational efficiency of both algorithms and show that the compact scheme is more efficient in terms of performance for solving a large system of coupled NLSEs. We also present the parallel implementation of the numerical algorithms for shared memory systems using OpenMP.
KW - Compact finite-difference scheme
KW - Multi-core fibers
KW - Nonlinear fiber optics
KW - Nonlinear Schrödinger equation
KW - Padé approximant
KW - Split-step Fourier method
KW - MATRIX
KW - NONLINEAR SCHRODINGER-EQUATIONS
KW - DIFFERENCE SCHEME
KW - Fade approximant
KW - POWER
KW - Nonlinear SchrOdinger equation
KW - PROPAGATION
UR - http://www.scopus.com/inward/record.url?scp=85008881255&partnerID=8YFLogxK
U2 - 10.1016/j.jcp.2016.12.056
DO - 10.1016/j.jcp.2016.12.056
M3 - Article
VL - 334
SP - 31
EP - 44
JO - Journal of Computational Physics
JF - Journal of Computational Physics
SN - 0021-9991
ER -
ID: 9069498