Comparison of RUST and C# as a tool for creation of a large agent-based simulation for population prediction of patients with alzheimer's disease in EU
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F16%3A50004921" target="_blank" >RIV/62690094:18450/16:50004921 - isvavai.cz</a>
Výsledek na webu
<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-45246-3_24" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-45246-3_24</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-45246-3_24" target="_blank" >10.1007/978-3-319-45246-3_24</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Comparison of RUST and C# as a tool for creation of a large agent-based simulation for population prediction of patients with alzheimer's disease in EU
Popis výsledku v původním jazyce
Introduction: During a creation of an agent based simulation is important to choose appropriate tools suitable for simulated topic. Large scale agent based simulations with a wast number of agents are very demanding on computational resources. Aim: Aim is to compare two approaches (1) Object oriented written in C# and (2) low level in Rust for creation of agent-based simulation and point out pros and cons of these tools. Methods: Simulation with over 500 millions agents is created in RUST and C#. Performance results from repeated simulation runs are compared. Runtime, memory consumption, multithreading, random number generation and agent synchronization is discussed. Results: Significant savings of computational resources were observed in Rust simulation. It's advanced options of memory management and concurrent programming options resulted in fractional execution time and memory consumption compared to C#. However, implementation in C# took less time to create and can be easily understood by domain experts.
Název v anglickém jazyce
Comparison of RUST and C# as a tool for creation of a large agent-based simulation for population prediction of patients with alzheimer's disease in EU
Popis výsledku anglicky
Introduction: During a creation of an agent based simulation is important to choose appropriate tools suitable for simulated topic. Large scale agent based simulations with a wast number of agents are very demanding on computational resources. Aim: Aim is to compare two approaches (1) Object oriented written in C# and (2) low level in Rust for creation of agent-based simulation and point out pros and cons of these tools. Methods: Simulation with over 500 millions agents is created in RUST and C#. Performance results from repeated simulation runs are compared. Runtime, memory consumption, multithreading, random number generation and agent synchronization is discussed. Results: Significant savings of computational resources were observed in Rust simulation. It's advanced options of memory management and concurrent programming options resulted in fractional execution time and memory consumption compared to C#. However, implementation in C# took less time to create and can be easily understood by domain experts.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/GA14-02424S" target="_blank" >GA14-02424S: Metody operačního výzkumu pro podporu rozhodování v podmínkách neurčitosti</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Computational collective intelligence. Part II.
ISBN
978-3-319-45245-6
ISSN
0302-9743
e-ISSN
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Počet stran výsledku
10
Strana od-do
252-261
Název nakladatele
Springer
Místo vydání
Berlin
Místo konání akce
Halkidiki, Greece
Datum konání akce
28. 9. 2016
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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