-
A. Casadei and P. Ramet.
Memory Optimization to Build a Schur Complement.
In SIAM Conference on Applied Linear Algebra,
Valence, Spain,
June 2012.
Keyword(s): Sparse.
@InProceedings{C:LaBRI::la12a,
author = {Casadei, A. and Ramet, P.},
title = {Memory Optimization to Build a Schur Complement},
OPTcrossref = {},
OPTkey = {},
booktitle = {SIAM Conference on Applied Linear Algebra},
OPTpages = {},
year = {2012},
OPTeditor = {},
OPTvolume = {},
OPTnumber = {},
OPTseries = {},
address = {Valence, Spain},
month = jun,
OPTorganization = {},
OPTpublisher = {},
OPTnote = {},
OPTannote = {},
KEYWORDS = "Sparse",
URL = {http://www.labri.fr/~ramet/restricted/la12a.pdf},
}
-
M. Faverge and P. Ramet.
Fine Grain Scheduling for Sparse Solver on Manycore Architectures.
In 15th SIAM Conference on Parallel Processing for Scientific Computing,
Savannah, USA,
February 2012.
Keyword(s): Sparse.
Abstract: |
The emergence of many-cores architectures introduces variations in computation costs, which makes precise cost models hard to realize. Static schedulers based on cost models, like the one used in the sparse direct solver extsc{PaStiX}, are no longer adapted. We describe the dynamic scheduler developed for the super-nodal method of extsc{PaStiX} to correct the imperfections of the static model. The solution presented exploit the elimination tree of the problem to keep the data locality during the execution. |
@InProceedings{C:LaBRI::siam2012,
author = {Faverge, M. and Ramet, P.},
title = {Fine Grain Scheduling for Sparse Solver on Manycore Architectures},
OPTcrossref = {},
OPTkey = {},
booktitle = {15th {SIAM} Conference on Parallel Processing for Scientific Computing},
OPTpages = {},
year = {2012},
OPTeditor = {},
OPTvolume = {},
OPTnumber = {},
OPTseries = {},
address = {Savannah, USA},
month = feb,
OPTorganization = {},
OPTpublisher = {},
OPTnote = {},
OPTannote = {},
KEYWORDS = "Sparse",
ABSTRACT = {The emergence of many-cores architectures introduces variations in computation costs, which makes precise cost models hard to realize. Static schedulers based on cost models, like the one used in the sparse direct solver extsc{PaStiX}, are no longer adapted. We describe the dynamic scheduler developed for the super-nodal method of extsc{PaStiX} to correct the imperfections of the static model. The solution presented exploit the elimination tree of the problem to keep the data locality during the execution.}
}
-
X. Lacoste and P. Ramet.
Sparse direct solver on top of large-scale multicore systems with GPU accelerators.
In SIAM Conference on Applied Linear Algebra,
Valence, Spain,
June 2012.
Keyword(s): Sparse.
@InProceedings{C:LaBRI::la12b,
author = {Lacoste, X. and Ramet, P.},
title = {Sparse direct solver on top of large-scale multicore systems with GPU accelerators},
OPTcrossref = {},
OPTkey = {},
booktitle = {SIAM Conference on Applied Linear Algebra},
OPTpages = {},
year = {2012},
OPTeditor = {},
OPTvolume = {},
OPTnumber = {},
OPTseries = {},
address = {Valence, Spain},
month = jun,
OPTorganization = {},
OPTpublisher = {},
OPTnote = {},
OPTannote = {},
KEYWORDS = "Sparse",
URL = {http://www.labri.fr/~ramet/restricted/la12b.pdf},
}