| title: |
| Efficient abstraction and execution of stochastic simulation models |
|
| contributing persons: |
| Till Köster[VerfasserIn] |
 |
1390614387 |
| Adelinde Uhrmacher[AkademischeR BetreuerIn] |
 |
136258794 |
|
Universität Rostock, Institut Visual and Analytic Computing |
| Alessandro Pellegrini[AkademischeR BetreuerIn] |
|
University of Rome “Tor Vergata”, Department of Civil Engineering and Computer Science
Engineering (DICII) |
| Kevin Burrage[AkademischeR BetreuerIn] |
|
Queensland University of Technology, School of Mathematical Sciences |
|
| contributing corporate bodies: |
| Universität Rostock[Grad-verleihende Institution] |
 |
38329-6 |
| Universität Rostock. Fakultät für Informatik und Elektrotechnik[Grad-verleihende Institution] |
 |
10085032-7 |
|
| |
| abstract: |
|
Stochasticity is found throughout cell-biological models when describing phenomena
such as diffusion and the resulting random interactions of entities. This thesis is
concerned with the efficient execution of these models. We cover the fundamentals
of modeling from the bottom up. Reaction systems are a main topic, particularly those
that use Stochastic Simulation Algorithms. We discuss efficient variations of these
algorithms, including their parallel execution. Furthermore, the limitations of static
reaction systems will be overcome by introducing dynamic compartmentalization.
[English] |
|
Zellbiologische Modelle verwenden häufig stochastische Prozesse, um zum Beispiel Phänomene
wie Diffusion und das daraus folgende zufällige Interagieren von Partikeln darzustellen.
In dieser Arbeit behandeln wir die effiziente Beschreibung und Ausführung dieser Modelle.
Insbesondere beschäftigen uns Reaktionssysteme, die von den Gillespie-Algorithmen
simuliert werden. Wir beschäftigen uns hier mit effizienten Varianten dieser Algorithmen,
einschließlich ihrer parallelen Ausführung auf CPUs und Grafikkarten.
[German] |
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| document type: |
|
| institution: |
| Faculty of Computer Science and Electrical Engineering |
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| language: |
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| subject class (DDC): |
| 004 Data processing Computer sciences |
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| extent: |
|
1 Online-Ressource (187 Seiten)
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publication / production: |
Rostock
|
Rostock: Universität Rostock
|
|
June 30th 2024
(normalised date: 2024) |
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| statement of responsibility: |
| vorgelegt von Till Köster |
|
| notes: |
| Enthält Zeitschriftenartikel |
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| identifiers: |
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| access condition: |
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| license/rights statement: |
all rights reserved This work may only be used under the terms of the German Copyright Law (Urheberrechtsgesetz). |
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|
| RosDok id: |
rosdok_disshab_0000003425 |
| created / modified: |
18.02.2026 / 18.02.2026
|
| metadata license: |
The metadata of this document was dedicated to the public domain (CC0 1.0 Universal Public Domain Dedication). |