A New AINV Preconditioner for the CG Method in Hybrid CPU-GPU Computing Environment
Author:
Affiliation:
1. Graduate School of Information Science and Technology, Hokkaido University
2. Information Initiative Center, Hokkaido University
Publisher
Information Processing Society of Japan
Subject
General Computer Science
Link
https://www.jstage.jst.go.jp/article/ipsjjip/30/0/30_755/_pdf
Reference33 articles.
1. [1] Saad, Y.: Iterative Methods for Sparse Linear Systems, SIAM, 2nd edition (2003).
2. [2] Li, R. and Saad, Y.: GPU-accelerated preconditioned iterative linear solvers, The Journal of Supercomputing, Vol.63, No.2, pp.443-466 (online), DOI: 10.1007/s11227-012-0825-3 (2013).
3. [3] Iwashita, T. and Shimasaki, M.: Algebraic multicolor ordering for parallelized ICCG solver in finite-element analyses, IEEE Trans. Magnetics, Vol.38, No.2, pp.429-432 (online), DOI: 10.1109/20.996114 (2002).
4. [4] Anzt, H., Chow, E. and Dongarra, J.: Iterative sparse triangular solves for preconditioning, European Conference on Parallel Processing, pp.650-661 (2015).
5. [5] Benzi, M., Meyer, C.D. and Tůma, M.: A sparse approximate inverse preconditioner for the conjugate gradient method, SIAM Journal on Scientific Computing, Vol.17, No.5, pp.1135-1149 (1996).
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