Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Hossein Mahmoodi Darian"'
Autor:
Hossein Mahmoodi Darian
Publikováno v:
Journal of Chemical and Petroleum Engineering, Vol 53, Iss 1, Pp 73-80 (2019)
In the present work, a framework is developed for implementation of finite difference schemes on Graphic Processing Units (GPU). The framework is developed using the CUDA language and C++ template meta-programming techniques. The framework is also ap
Externí odkaz:
https://doaj.org/article/e33aff6a688c444ebab915eb5fb13a88
Autor:
Hossein Mahmoodi Darian
Publikováno v:
مجله مدل سازی در مهندسی, Vol 16, Iss 55, Pp 113-131 (2018)
In this paper an efficient method for defining multi-variable functions using expression templates for array computations in computational fluid dynamics simulations in C++ is introduced. The method is implemented using variadic templates which is a
Externí odkaz:
https://doaj.org/article/efcff05869314048b20494cf133232ba
Publikováno v:
Computers & Mathematics with Applications. 123:184-203
Autor:
Hossein Mahmoodi Darian
Publikováno v:
SIAM Journal on Scientific Computing. 43:C89-C125
In this paper we investigate the utilization of variadic templates for numerical methods and finite difference schemes. Specifically, an efficient method for defining multivariate functions in the ...
Publikováno v:
Numerical Methods for Partial Differential Equations. 35:2375-2406
Publikováno v:
Computational and Applied Mathematics. 39
In the present study, an efficient GPU-based corrected explicit–implicit domain decomposition scheme is proposed to accelerate fractional steps solvers. Implicit time advancement in fractional steps solvers leads to several independent tri-diagonal
Publikováno v:
Mechanics & Industry. 21:303
The solution of tridiagonal system of equations using graphic processing units (GPU) is assessed. The parallel-Thomas-algorithm (PTA) is developed and the solution of PTA is compared to two known parallel algorithms, i.e. cyclic-reduction (CR) and pa
Publikováno v:
International Journal for Numerical Methods in Fluids. 76:961-981
Publikováno v:
International Journal of Computer Mathematics. 92:110-131
An optimized implementation of a block tridiagonal solver based on the block cyclic reduction (BCR) algorithm is introduced and its portability to graphics processing units (GPUs) is explored. The computations are performed on the NVIDIA GTX480 GPU.
Publikováno v:
Computers & Fluids. 80:260-268
In this paper we study the implementation of WENO schemes on Graphic Processor Unit (GPU). The GPU implementation of the schemes are described for different test cases. The test cases are chosen from the linear and nonlinear and also one- and two-dim