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VERSION:2.0
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DTSTAMP:20260628T071818Z
UID:c1f85002-62b2-4b8d-84b6-7cf25cfb0c40
DTSTART:20150407T120000Z
DTEND:20150410T100000Z
DESCRIPTION:Content:\n		This course will present the state of the art in th
 e development of parallel direct methods for sparse linear systems. Some o
 f these methods are being implemented as black box solvers\; the correspon
 ding toolkits will be experimented in dedicated hand-on sessions.\n		The c
 ourse will also present recent work on hybrid (direct / iterative) methods
  that better exploit the two-level structure of current parallel architect
 ures.\n		 \n		Direct solvers:\n		\n				Dense matrices (serial and paralle
 l\, 1D and 2D distributions)\n			\n				Sparse matrices (graph model\, renu
 mbering\, elimination graph\, symbolic and numeric factorizations)\n			\n	
 			Parallel methods: data distribution\, scheduling of computations and co
 mmunications\n			\n				Hands-on with the MUMPS and Pastix solvers\n		\n		
                \n		Hybrid methods\n				Basics on Krylov sub
 space methods\n			\n				Basics on algebraic domain decomposition methods (
 Schur/Schwarz)\n			\n				Hybrid direct/iterative methods: motivation and d
 escription of methods\n			\n				Hierarchical parallel implementation and s
 calability issues\n		\n		 \n		Hands-on session with the MaPhys and HIPS s
 olvers.\nInstructors\nE. Agullo (Inria)\, M. Faverge (Bordeaux INP)\, L. G
 iraud (Inria)\, A. Guermouche (Université de Bordeaux )\,  J. Pedron (
 Inria)\, P. Ramet (Université de Bordeaux)Learning outcomes\nUnderstand t
 he main features of the direct and iterative methods\, their tradeoffs and
  when using them is most advisable.\nGain practical experience with some s
 tate of the art solvers.Prerequisites\nBasic knowledge of linear algebra a
 nd parallel algorithms\nKnowledge of a programming language (Fortran\, C\,
  C++)\nAbility to use Linux (Unix)\n\nhttps://events.prace-ri.eu/event/346
 /
SUMMARY:Parallel linear algebra@MDS/CINES
URL;VALUE=URI:https://events.prace-ri.eu/event/346/
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