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VERSION:2.0
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DTSTAMP:20260624T193728Z
UID:c1886e37-84fa-4305-bd9f-450ce19cba4b
DTSTART:20140325T083000Z
DTEND:20140327T170000Z
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 (Institut Polytechniq
 ue de Bordeaux)\, L. Giraud (Inria)\, A. Guermouche (Université de Bordea
 ux 1)\,  J. Pedron (Inria)\, P. Ramet (Université de Bordeaux 1)Learnin
 g outcomes\nUnderstand the main features of the direct and iterative metho
 ds\, their tradeoffs and when using them is most advisable.\nGain practica
 l experience with some state of the art solvers.Prerequisites\nBasic knowl
 edge of linear algebra and parallel algorithms\nKnowledge of a programming
  language (Fortran\, C\, C++)\nAbility to use Linux (Unix)\n\nhttps://even
 ts.prace-ri.eu/event/227/
SUMMARY:Parallel linear algebra@ MdS
URL;VALUE=URI:https://events.prace-ri.eu/event/227/
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