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dc.contributor.author
Arbenz, Peter
dc.contributor.author
Flaig, Cyril
dc.contributor.author
Kellenberger, Daniel
dc.date.accessioned
2017-10-25T08:08:44Z
dc.date.available
2017-06-11T04:48:38Z
dc.date.available
2017-10-25T08:08:44Z
dc.date.issued
2014
dc.identifier.uri
http://hdl.handle.net/20.500.11850/80387
dc.identifier.doi
10.3929/ethz-a-010056782
dc.description.abstract
Osteoporosis is a disease that aects a growing number of people by increasing the fragility of their bones. To improve the understanding of the bone quality, large scale computer simulations are applied. A fast, scalable and memory ecient solver for such problems is ParOSol. It uses the preconditioned conjugate gradient algorithm with a multigrid preconditioner. A modication of ParOSol is presented that prots from the exorbitant compute capabilities of recent generalpurpose graphics processing units (GPGPUs). Adaptations of data structures for the GPGPU are discussed. The fastest implementation on a GPGPU achieves a speedup of more than ve compared with the CPU implementation and scales from 1 to at least 256 GPGPUs.
en_US
dc.language.iso
en
en_US
dc.publisher
Eidgenössische Technische Hochschule Zürich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Voxel-based computation
en_US
dc.subject
VERTEILTE PROGRAMMIERUNG + PARALLELE PROGRAMMIERUNG (PROGRAMMIERMETHODEN)
en_US
dc.subject
OSTEOPOROSE (PATHOLOGIE)
en_US
dc.subject
BONE STRUCTURE (ANATOMY AND PHYSIOLOGY)
en_US
dc.subject
Micro nite element analysis
en_US
dc.subject
KNOCHENSTRUKTUR (ANATOMIE UND PHYSIOLOGIE)
en_US
dc.subject
OSTEOPOROSIS (PATHOLOGY)
en_US
dc.subject
CONCURRENT PROGRAMMING + DISTRIBUTED PROGRAMMING + PARALLEL PROGRAMMING (PROGRAMMING METHODS)
en_US
dc.subject
Multigrid preconditioned conjugate gradient algorithm
en_US
dc.subject
Multiple GPGPUs
en_US
dc.title
Bone structure analysis on multiple GPGPUs
en_US
dc.type
Report
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2014
ethz.size
18 p.
en_US
ethz.code.ddc
0 - Computer science, information & general works::004 - Data processing, computer science
en_US
ethz.code.ddc
6 - Technology, medicine and applied sciences::610 - Medical sciences, medicine
en_US
ethz.identifier.nebis
010056782
ethz.publication.place
Zürich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02643 - Institut für Theoretische Informatik / Inst. Theoretical Computer Science::03340 - Widmayer, Peter (emeritus) / Widmayer, Peter (emeritus)::08805 - Arbenz, Peter (Tit.-Prof.)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02643 - Institut für Theoretische Informatik / Inst. Theoretical Computer Science::03340 - Widmayer, Peter (emeritus) / Widmayer, Peter (emeritus)::08805 - Arbenz, Peter (Tit.-Prof.)
ethz.date.deposited
2017-06-11T04:50:40Z
ethz.source
ECOL
ethz.source
ECIT
ethz.identifier.importid
imp59366b5012e1a58429
ethz.identifier.importid
imp5936519d21dfc72794
ethz.ecolpid
eth:7944
ethz.ecitpid
pub:126111
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-13T04:49:51Z
ethz.rosetta.lastUpdated
2019-02-02T12:55:01Z
ethz.rosetta.versionExported
true
ethz.COinS
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