ABSTRACT We solve a time dependent semilinear partial differential equation using a spectral collocation method on a distributed memory supercomputer. Previous attempts to use spectral methods to solve evolutionary partial differential equations have scaled poorly on distributed memory machines because typical time stepping algorithms require fast global all-to-all communications. Consequently, primarily expensive supercomputers with very fast interprocessor communications are used to do large scale spectral simulations -see for exampl
In this paper, we propose an iterative spectral method for solving differential equations with initi...
Spectral methods can solve elliptic partial differential equations (PDEs) numerically with errors bo...
A novel domain decomposition method for spectrally accurate solutions of PDEs is presented. A Local ...
Abstract. A spectral method for solving linear partial differential equations (PDEs) with vari-able ...
In this paper, we introduce a fully spectral solution for the partial differential equation ut + uux...
Origins of spectral methods, especially their relation to the Method of Weighted Residuals, are surv...
Along with finite differences and finite elements, spectral methods are one of the three main method...
Krylov Supspace Spectral (KSS) methods provide an efficient approach to the solution of time-depende...
Global spectral methods offer the potential to compute solutions of partial differential equations n...
A collection of codes (in MATLAB & Fortran 77), and examples, for solving reaction-diffusion equatio...
A hybrid spectral/compact solver for variable-density viscous incompressible flow is described. Para...
A new semi-analytical time differencing is applied to spectral methods for partial differential equa...
AbstractPseudospectral spatial discretization by orthogonal polynomials and Strang splitting method ...
This work addresses the algorithmical aspects of spectral methods for elliptic equations. We focus o...
We report on the progress achieved in the numerical simulation of self-adjoint multiparameter spectr...
In this paper, we propose an iterative spectral method for solving differential equations with initi...
Spectral methods can solve elliptic partial differential equations (PDEs) numerically with errors bo...
A novel domain decomposition method for spectrally accurate solutions of PDEs is presented. A Local ...
Abstract. A spectral method for solving linear partial differential equations (PDEs) with vari-able ...
In this paper, we introduce a fully spectral solution for the partial differential equation ut + uux...
Origins of spectral methods, especially their relation to the Method of Weighted Residuals, are surv...
Along with finite differences and finite elements, spectral methods are one of the three main method...
Krylov Supspace Spectral (KSS) methods provide an efficient approach to the solution of time-depende...
Global spectral methods offer the potential to compute solutions of partial differential equations n...
A collection of codes (in MATLAB & Fortran 77), and examples, for solving reaction-diffusion equatio...
A hybrid spectral/compact solver for variable-density viscous incompressible flow is described. Para...
A new semi-analytical time differencing is applied to spectral methods for partial differential equa...
AbstractPseudospectral spatial discretization by orthogonal polynomials and Strang splitting method ...
This work addresses the algorithmical aspects of spectral methods for elliptic equations. We focus o...
We report on the progress achieved in the numerical simulation of self-adjoint multiparameter spectr...
In this paper, we propose an iterative spectral method for solving differential equations with initi...
Spectral methods can solve elliptic partial differential equations (PDEs) numerically with errors bo...
A novel domain decomposition method for spectrally accurate solutions of PDEs is presented. A Local ...