Journal of Engineering and Applied Sciences
Year:
2018
Volume:
13
Issue:
23
Page No.
9889 - 9891
References
Abbas, S.H., 2014. Computing the determinants in the multiprocessor computer. Intl. J. Innovative Res. Sci. Eng. Technol., 3: 15523-15530.
CrossRef | Direct Link | Ares, G., P. Ezzatti and E.S. Quintana-Orti, 2013. Towards a distributed GPU-accelerated matrix inversion. High Perform. Comput. Latam, 2013: 80-88.
Direct Link | Davies, R., P. Shi and R. Wiltshire, 2007. New lower solution bounds of the continuous algebraic Riccati matrix equation. Linear Algebra Appl., 427: 242-255.
Direct Link | Gray, A., 2016. Invertastic: Large-scale dense matrix inversion. ARCHER Whitepaper, 2016: 1-7.
Direct Link | Ibearugbulem, O.M., E.S. Osasona and U.J. Maduh, 2014. Iterative determinant method for solving eigenvalue problems. Intl. J. Comput. Eng. Res., 9: 28-31.
Jamil, N., 2012. A comparison of direct and indirect solvers for linear systems of equations. Intl. J. Emerging Sci., 2: 310-322.
Direct Link | Murthy, K.B., K. Bhuvaneswari and C.R. Murthy, 1998. A new algorithm based on Givens rotations for solving linear equations on fault-tolerant mesh-connected processors. IEEE. Trans. Parallel Distrib. Syst., 9: 825-832.
CrossRef | Direct Link | Sharma, G., A. Agarwala and B. Bhattacharya, 2013. A fast parallel Gauss Jordan algorithm for matrix inversion using CUDA. Comput. Struct., 128: 31-37.
CrossRef | Direct Link | Shirazi, M., M. Kargahi and F. Khunjush, 2015. Gauss-Jordan matrix inversion speed-up using GPUs with the consideration of power consumption. Proceedings of the 5th International Conference on Advanced Communications and Computation (INFOCOMP), June 21-26, 2015, IARIA, Brussels, Belgium, ISBN:978-1-61208-416-9, pp: 20-25.