000151996 001__ 151996
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000151996 0247_ $$2doi$$a10.3233/978-1-61499-381-0-263
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000151996 037__ $$aFZJ-2014-01820
000151996 1001_ $$0P:(DE-Juel1)132268$$aSpeck, Robert$$b0$$eCorresponding Author$$ufzj
000151996 1112_ $$aInternational Conference on Parallel Computing$$cMunich$$d2013-09-10 - 2013-09-13$$gParCo$$wGermany
000151996 245__ $$aA space-time parallel solver for the three-dimensional heat equation
000151996 260__ $$bIOS Press$$c2014
000151996 29510 $$aParallel Computing: Accelerating Computational Science and Engineering (CSE)
000151996 300__ $$a263 - 272
000151996 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1411384702_21519
000151996 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
000151996 3367_ $$033$$2EndNote$$aConference Paper
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000151996 4900_ $$aAdvances in Parallel Computing$$v25
000151996 520__ $$aThe paper presents a combination of the time-parallel "parallel full approximation scheme in space and time" (PFASST) with a parallel multigrid method (PMG) in space, resulting in a mesh-based solver for the three-dimensional heat equation with a uniquely high degree of efficient concurrency. Parallel scaling tests are reported on the Cray XE6 machine “Monte Rosa” on up to 16,384 cores and on the IBM Blue Gene/Q system “JUQUEEN” on up to 65,536 cores. The efficacy of the combined spatial-and temporal parallelization is shown by demonstrating that using PFASST in addition to PMG significantly extends the strong-scaling limit. Implications of using spatial coarsening strategies in PFASST's multi-level hierarchy in large-scale parallel simulations are discussed.
000151996 536__ $$0G:(DE-HGF)POF2-411$$a411 - Computational Science and Mathematical Methods (POF2-411)$$cPOF2-411$$fPOF II$$x0
000151996 536__ $$0G:(GEPRIS)450829162$$aDFG project 450829162 - Raum-Zeit-parallele Simulation multimodale Energiesystemen (450829162)$$c450829162$$x1
000151996 536__ $$0G:(GEPRIS)450829162$$aDFG project 450829162 - Raum-Zeit-parallele Simulation multimodale Energiesystemen (450829162)$$c450829162$$x2
000151996 7001_ $$0P:(DE-HGF)0$$aRuprecht, Daniel$$b1
000151996 7001_ $$0P:(DE-HGF)0$$aEmmett, Matthew$$b2
000151996 7001_ $$0P:(DE-HGF)0$$aMinion, Michael$$b3
000151996 7001_ $$0P:(DE-HGF)0$$aBolten, Matthias$$b4
000151996 7001_ $$0P:(DE-HGF)0$$aKrause, Rolf$$b5
000151996 773__ $$a10.3233/978-1-61499-381-0-263
000151996 8564_ $$uhttp://www.ebooks.iospress.nl/volumearticle/35889
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000151996 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132268$$aForschungszentrum Jülich GmbH$$b0$$kFZJ
000151996 9132_ $$0G:(DE-HGF)POF3-511$$1G:(DE-HGF)POF3-510$$2G:(DE-HGF)POF3-500$$aDE-HGF$$bPOF III$$lKey Technologies$$vSupercomputing & Big Data $$x0
000151996 9131_ $$0G:(DE-HGF)POF2-411$$1G:(DE-HGF)POF2-410$$2G:(DE-HGF)POF2-400$$3G:(DE-HGF)POF2$$4G:(DE-HGF)POF$$aDE-HGF$$bSchlüsseltechnologien$$lSupercomputing$$vComputational Science and Mathematical Methods$$x0
000151996 9141_ $$y2014
000151996 920__ $$lyes
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