Improving the Performance of CA-GMRES on Multicores with Multiple GPUs

@article{Yamazaki2014ImprovingTP,
  title={Improving the Performance of CA-GMRES on Multicores with Multiple GPUs},
  author={Ichitaro Yamazaki and Hartwig Anzt and Stanimire Tomov and Mark Hoemmen and Jack J. Dongarra},
  journal={2014 IEEE 28th International Parallel and Distributed Processing Symposium},
  year={2014},
  pages={382-391}
}
The Generalized Minimum Residual (GMRES) method is one of the most widely-used iterative methods for solving nonsymmetric linear systems of equations. In recent years, techniques to avoid communication in GMRES have gained attention because in comparison to floating-point operations, communication is becoming increasingly expensive on modern computers. Since graphics processing units (GPUs) are now becoming crucial component in computing, we investigate the effectiveness of these techniques on… CONTINUE READING
Highly Cited
This paper has 42 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 26 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 22 references

J

  • I. Yamazaki, S. Tomov, T. Dong
  • Dongarra, Mixed-precision orthogonalization…
  • 2014
2 Excerpts

PARALUTION - the library for iterative sparse methods on CPU and GPU

  • D. Lukarski
  • available online: http://www.paralution.com/
  • 2013
1 Excerpt

Tpetra

  • C. G. Baker, M. A. Heroux
  • and the use of generic programming in scientific…
  • 2012
2 Excerpts

Similar Papers

Loading similar papers…