Iterative Algorithms for Solution of Large Sparse Systems of Linear Equations on Hypercubes
IEEE Transactions on Computers
Parallel algorithms for sparse linear systems
SIAM Review
Parallel computing (2nd ed.): theory and practice
Parallel computing (2nd ed.): theory and practice
Journal of Parallel and Distributed Computing - Special issue on scalability of parallel algorithms and architectures
A Class of Parallel Algorithms for Solving Large Sparse Linear Systems on Multiprocessors
HPC '00 Proceedings of the The Fourth International Conference on High-Performance Computing in the Asia-Pacific Region-Volume 2 - Volume 2
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
Sparse Tiling for Stationary Iterative Methods
International Journal of High Performance Computing Applications
Convergence Analysis of Jacobi Iterative Method Using Logarithmic Number System
ICIS '08 Proceedings of the Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008)
Hi-index | 0.00 |
Several well-known approaches exist to solve a set of linear equations. This short paper introduces a modified version of the existing sequential Jacobi iterative method. The prime contribution of the present investigation is that the variables which achieve smaller than the prescribed accuracy in the earlier iteration will not be updated further as before. Although these are updated in a simpler way to filter the non-converged variables, consequently, it reduces execution time to a great extent. Results demonstrate that the proposed approach outperforms the most of the linear sets.