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Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F02%3APU36236%21RIV11-MSM-26230___
rdf:type
n12:Vysledek skos:Concept
dcterms:description
Even though solving linear systems of equations Ax = b has been studied for long time, one cannot depend on numerical software libraries entirely due to a large number of all possible structures of A and due to many recent changes in high performance computer architectures, programming languages and compilers. If the user's priority is maximum performance on one specialized problem, custom software should be preferred. Here we describe experience with parallel solution of large linear systems of equations on shared as well as distributed memory architecture. The results of exact or iterative solution have been generated in Practical parallel programming course by student teams as term projects. The methods of solutions span from Gauss elimination to Gauss-Seidel or SOR iterations. Speedup and efficiency of various exact and approximate (iterative) methods of solution are compared on both shared memory as well as distributed memory architectures (clusters). Even though solving linear systems of equations Ax = b has been studied for long time, one cannot depend on numerical software libraries entirely due to a large number of all possible structures of A and due to many recent changes in high performance computer architectures, programming languages and compilers. If the user's priority is maximum performance on one specialized problem, custom software should be preferred. Here we describe experience with parallel solution of large linear systems of equations on shared as well as distributed memory architecture. The results of exact or iterative solution have been generated in Practical parallel programming course by student teams as term projects. The methods of solutions span from Gauss elimination to Gauss-Seidel or SOR iterations. Speedup and efficiency of various exact and approximate (iterative) methods of solution are compared on both shared memory as well as distributed memory architectures (clusters).
dcterms:title
Parallel Linear Equations Solvers for Scientific Simulation: Cluster and SMP Experience Parallel Linear Equations Solvers for Scientific Simulation: Cluster and SMP Experience
skos:prefLabel
Parallel Linear Equations Solvers for Scientific Simulation: Cluster and SMP Experience Parallel Linear Equations Solvers for Scientific Simulation: Cluster and SMP Experience
skos:notation
RIV/00216305:26230/02:PU36236!RIV11-MSM-26230___
n4:aktivita
n15:N n15:P n15:V n15:Z
n4:aktivity
N, P(GA102/02/0503), V, Z(MSM 262200012)
n4:dodaniDat
n9:2011
n4:domaciTvurceVysledku
n7:9380922 n7:6712193
n4:druhVysledku
n20:D
n4:duvernostUdaju
n5:S
n4:entitaPredkladatele
n10:predkladatel
n4:idSjednocenehoVysledku
657766
n4:idVysledku
RIV/00216305:26230/02:PU36236
n4:jazykVysledku
n22:eng
n4:klicovaSlova
Linear equation solvers, shared/distributed memory architecture, MPI, OpenMP
n4:klicoveSlovo
n6:OpenMP n6:shared%2Fdistributed%20memory%20architecture n6:Linear%20equation%20solvers n6:MPI
n4:kontrolniKodProRIV
[EFBC77D0CBE9]
n4:mistoKonaniAkce
Krnov
n4:mistoVydani
Ostrava
n4:nazevZdroje
Proceedings of XXIVth International Autumn Colloquium ASIS'02 Advanced Simulation of Systems
n4:obor
n11:JC
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n18:GA102%2F02%2F0503
n4:rokUplatneniVysledku
n9:2002
n4:tvurceVysledku
Staroba, Jiří Dvořák, Václav
n4:typAkce
n19:WRD
n4:zahajeniAkce
2002-09-09+02:00
n4:zamer
n17:MSM%20262200012
s:numberOfPages
6
n3:hasPublisher
Neuveden
n14:isbn
80-85988-77-1
n16:organizacniJednotka
26230