Dense linear algebra solvers for multicore with GPU accelerators

@article{Tomov2010DenseLA,
  title={Dense linear algebra solvers for multicore with GPU accelerators},
  author={Stanimire Tomov and Rajib Nath and Hatem Ltaief and Jack J. Dongarra},
  journal={2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW)},
  year={2010},
  pages={1-8}
}
Solving dense linear systems of equations is a fundamental problem in scientific computing. Numerical simulations involving complex systems represented in terms of unknown variables and relations between them often lead to linear systems of equations that must be solved as fast as possible. We describe current efforts toward the development of these critical solvers in the area of dense linear algebra (DLA) for multicore with GPU accelerators. We describe how to code/develop solvers to… CONTINUE READING
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