Speed It Up

GPUs are cost-effective solutions for hardware acceleration of the FDTD algorithm. The acceleration of FDTD on GPUs has made the algorithm more available and affordable with endless possible applications. Hardware acceleration has brought the power of supercomputing to the desktop.

[1]  Peter Russer,et al.  Massively parallel two-dimensional TLM algorithm on graphics processing units , 2008, 2008 IEEE MTT-S International Microwave Symposium Digest.

[2]  J. Volakis,et al.  Finite element method for electromagnetics : antennas, microwave circuits, and scattering applications , 1998 .

[3]  R. Mittra,et al.  Implementation of the periodic boundary condition in the finite-difference time-domain algorithm for FSS structures , 1994, Proceedings of IEEE Antennas and Propagation Society International Symposium and URSI National Radio Science Meeting.

[4]  C.D. Sarris,et al.  Accelerated Implementation of the S-MRTD Technique Using Graphics Processor Units , 2006, 2006 IEEE MTT-S International Microwave Symposium Digest.

[5]  K. Yee Numerical solution of initial boundary value problems involving maxwell's equations in isotropic media , 1966 .

[6]  Christos Christopoulos,et al.  The Transmission-Line Modeling (TLM) Method in Electromagnetics , 2006, The TLM Method in Electromagnetics.

[7]  Roger F. Harrington,et al.  Field computation by moment methods , 1968 .

[8]  Allen Taflove,et al.  Computational Electrodynamics the Finite-Difference Time-Domain Method , 1995 .

[9]  M.M. Okoniewski,et al.  Acceleration of finite-difference time-domain (FDTD) using graphics processor units (GPU) , 2004, 2004 IEEE MTT-S International Microwave Symposium Digest (IEEE Cat. No.04CH37535).

[10]  M. Clemens,et al.  Discrete Electromagnetism With the Finite Integration Technique - Abstract , 2001 .

[11]  T.P. Stefanski,et al.  Acceleration of the 3D ADI-FDTD method using graphics processor units , 2009, 2009 IEEE MTT-S International Microwave Symposium Digest.