Chers collègues,
La prochaine session du séminaire Performance et Généricité du LRDE
(Laboratoire de Recherche et Développement de l'EPITA) aura lieu le
Mardi 1 octobre 2019 (11h -- 12h), Amphi 4.
Vous trouverez sur le site du séminaire [1] les prochaines séances,
les résumés, captations vidéos et planches des exposés précédents [2],
le détail de cette séance [3] ainsi que le plan d'accès [4].
[1] http://seminaire.lrde.epita.fr
[2] http://seminaire.lrde.epita.fr/Archives
[3] http://seminaire.lrde.epita.fr/2019-10-01
[4] http://www.lrde.epita.fr/wiki/Contact
Au programme du Mardi 1 octobre 2019 :
* 11h -- 12h: The Loci Auto-Parallelizing Framework: An Overview and Future
Directions
-- Edward A. Luke, Professor, Department of Computer Science and Engineering,
Mississippi State University
http://web.cse.msstate.edu/~luke/loci/index.html
The Loci Auto-Parallelizing framework provides a Domain Specific
Language (DSL) for the creation of high performance numerical models.
The framework uses a logic-relation model to describe irregular
computations, provide guarantees of internal logical consistency, and
provides for automatic parallel execution. The framework has been used
to develop a number of advance computational models used in production
engineering processes. Currently Loci based tools form the backbone of
computational fluid dynamics tools used by NASA Marshall and Loci based
codes account for more than 20% of the computational workload on NASA’s
Pleiades supercomputer. This talk will provide an overview of the
framework, discuss its general approach, and provide comparisons to
other programming models through a mini-app benchmark. In addition,
future plans for developing efficient schedules of fine-grained parallel
and memory bandwidth constrained computations will be discussed.
Finally, some examples of the range of engineering simulations enabled
by the technology will be introduced and briefly discussed.
-- Dr. Ed Luke is a professor of computer science in the computer science
department of Mississippi State University. He received his Ph.D. in the
field of Computational Engineering in 1999 and conducts research at the
intersection between applied math, computer science. His research
focuses on creating systems to automatically parallelize numerical
algorithms, particularly those used to solve systems of partial
differential equations. Currently Dr. Luke is participating in active
collaborations with INRIA in Paris conducting research in the areas of
solver parallelization and mesh generation.
L'entrée du séminaire est libre. Merci de bien vouloir diffuser cette
information le plus largement possible. N'hésitez pas à nous faire
parvenir vos suggestions d'orateurs.
--
Edwin Carlinet
Laboratoire R&D de l'EPITA (LRDE)