<div class="csl-bib-body">
<div class="csl-entry">Treml, L. M. (2018). <i>Simulating cardiac dynamics using Maxeler dataflow super-computing</i> [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.41907</div>
</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2018.41907
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/7271
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dc.description.abstract
Nowadays, computer-based simulation is an important tool to study various phenomena in cardiac biology ranging from investigating the properties of single ion channels to predict the onset of cardiac arrhythmia. Due to the complexity of calculations, these simulations are generally computationally expensive and resource intensive. In the last decade, there has been a great effort to accelerate computer-based cardiac simulation by implementing efficient parallel algorithms that leverage multi-cores CPU and many-cores GPUs currently available also in common personal computers. These algorithms are generally developed using imperative languages dictating the control flow of the program. In this work I am investigating the use of hardware-based accelerators provided by Maxeler Dataflow Technology to improve the simulation time of the electrical activity of a homogenous 1D cell cable and an isolated single cell. This technology relies on dataflow paradigm, in which the data processing elements, called pipelines, operate concurrently and are connected in a way that the output of one element is the input for the following/next one. In my work I am additionally comparing the advantages and disadvantages of the proposed approach with the current state-of-the-art based on CPU and GPU regarding performance and resource utilization.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
Dataflow
de
dc.subject
maxeler
de
dc.subject
simulation
de
dc.subject
Dataflow
en
dc.subject
maxeler
en
dc.subject
simulation
en
dc.title
Simulating cardiac dynamics using Maxeler dataflow super-computing
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dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2018.41907
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Lilly Maria Treml
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dc.publisher.place
Wien
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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dc.contributor.assistant
Isakovi, Haris
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tuw.publication.orgunit
E182 - Institut für Technische Informatik
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dc.type.qualificationlevel
Diploma
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dc.identifier.libraryid
AC15195545
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dc.description.numberOfPages
97
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dc.identifier.urn
urn:nbn:at:at-ubtuw:1-117751
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dc.thesistype
Diplomarbeit
de
dc.thesistype
Diploma Thesis
en
dc.rights.identifier
In Copyright
en
dc.rights.identifier
Urheberrechtsschutz
de
tuw.advisor.staffStatus
staff
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tuw.assistant.staffStatus
staff
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tuw.advisor.orcid
0000-0002-8004-6601
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item.openaccessfulltext
Open Access
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item.openairecristype
http://purl.org/coar/resource_type/c_bdcc
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item.grantfulltext
open
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item.mimetype
application/pdf
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item.languageiso639-1
en
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item.openairetype
master thesis
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item.fulltext
with Fulltext
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item.cerifentitytype
Publications
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crisitem.author.dept
E191-01 - Forschungsbereich Cyber-Physical Systems