Forward and back substitution algorithms on GPU: a case study on modified incomplete Cholesky Preconditioner for three-dimensional finite difference method

Author:

Aksari Yigitcan,Artuner Harun

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference22 articles.

1. Aji AM, Feng WC (2008) Accelerating data-serial applications on data-parallel GPGPUs: a systems approach. Tech rep. http://eprints.cs.vt.edu/archive/00001052/01/ipdps08.pdf

2. Ament M, Knittel G, Weiskopf D, Strasser W (2010) A parallel preconditioned conjugate gradient solver for the Poisson problem on a multi-gpu platform. In: Proceedings of the 2010 18th Euromicro conference on parallel, distributed and network-based processing, PDP ’10. IEEE Computer Society, Washington, pp 583–592

3. Balevic A, Rockstroh L, Tausendfreund A, Patzelt S, Goch G, Simon S (2008) Accelerating simulations of light scattering based on finite-difference time-domain method with general purpose gpus. In: Computational science and engineering, CSE ’08. 11th IEEE international conference on, pp 327–334. doi: 10.1109/CSE.2008.16

4. Benzi M (2002) Preconditioning techniques for large linear systems: a survey. J Comput Phys 182:418–477

5. Bolz J, Farmer I, Grinspun E, Schröder P (2003) Sparse matrix solvers on the gpu: conjugate gradients and multigrid. ACM Trans Graph 22:917–924

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