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

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>

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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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)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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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