How to cite us¶
If you use Elemental in your research, we would appreciate an appropriate level of citation. A few different common scenarios are outlined below:
Elemental as a package¶
J. Poulson, B. Marker, R. van de Geijn, J. Hammond, and N. Romero (2013). Elemental: A new framework for distributed memory dense matrix computations, ACM Transactions on Mathematical Software. [doi:10.1145/2427023.2427030]
Elemental’s pseudospectra and triangular eigensolver support¶
T. Moon and J. Poulson (2016). Accelerating eigenvector and pseudospectra computation using blocked multi-shift triangular solves, [arXiv:1607.01477,].
Elemental’s Hermitian eigensolvers¶
M. Petschow, E. Peise, and P. Bientinesi (2013). High-performance solver for dense Hermitian eigenproblems, SIAM Journal on Scientific Computing. [doi:10.1137/110848803] [arXiv:1205.2107]
Elemental’s sparse-direct solvers¶
J. Poulson, B. Engquist, S. Li, and L. Ying (2013). A parallel sweeping preconditioner for heterogeneous 3D Helmholtz equations, [doi:10.1137/120871985] [arXiv:1204.0111]
A fairly complete list is available both at the bottom of this page and in BibTeX format.
Bibliography¶
Publications¶
J. Poulson, B. Marker, R. A. v. d. Geijn, J. R. Hammond and N. A. Romero (2013). Elemental: A new framework for distributed memory dense matrix computations, ACM Transactions on Mathematical Software, 39(2), pp. 13:1-13:24, [doi:10.1145/2427023.2427030].
T. Moon and J. Poulson (2016). Accelerating eigenvector and pseudospectra computation using blocked multi-shift triangular solves, [arXiv:1607.01477,].
M. Petschow, E. Peise and P. Bientinesi (2013). High-performance solvers for dense Hermitian eigenproblems, SIAM Journal on Scientific Computing, 35(1), pp. C1-C22, [doi:10.1137/110848803].
J. Poulson, B. Engquist, S. Li and L. Ying (2013). A parallel sweeping preconditioner for heterogeneous 3D Helmholtz equations, SIAM Journal on Scientific Computing, 35(3), pp. C194-C212, [doi:10.1137/120871985].
B. Marker, E. Chan, J. Poulson, R. v. d. Geijn, R. F. v. d. Wijngaart, T. G. Mattson and T. E. Kubaska (2012). Programming many-core architectures - a case study: dense matrix computations on the Intel single-chip cloud computer processor, Concurrency and Computation: Practice and Experience, 24(12), pp. 1317-1333, [doi:10.1002/cpe.1832].