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Dynamic Multicore P...
Dynamic Multicore Processing for Pandemic Influenza Simulation.
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- Eriksson, Henrik, 1963- (författare)
- Linköpings universitet,Interaktiva och kognitiva system,Tekniska fakulteten
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- Timpka, Toomas (författare)
- Linköpings universitet,Avdelningen för samhällsmedicin,Medicinska fakulteten,Interaktiva och kognitiva system,Tekniska fakulteten,Region Östergötland, Folkhälsocentrum
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- Spreco, Armin, 1986- (författare)
- Linköpings universitet,Avdelningen för samhällsmedicin,Medicinska fakulteten
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visa fler...
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- Dahlström, Örjan (författare)
- Linköpings universitet,Institutionen för medicin och hälsa,Medicinska fakulteten
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- Strömgren, Magnus (författare)
- Dept. of Social and Economic Geography, Umeå University, Umeå, Sweden
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- Holm, Einar (författare)
- Dept. of Social and Economic Geography, Umeå University, Umeå, Sweden
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visa färre...
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(creator_code:org_t)
- American Medical Informatics Association, 2016
- 2016
- Engelska.
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Ingår i: AMIA Annual Symposium Proceedings. - : American Medical Informatics Association. ; , s. 534-540
- Relaterad länk:
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https://urn.kb.se/re...
Abstract
Ämnesord
Stäng
- Pandemic simulation is a useful tool for analyzing outbreaks and exploring the impact of variations in disease, population, and intervention models. Unfortunately, this type of simulation can be quite time-consuming especially for large models and significant outbreaks, which makes it difficult to run the simulations interactively and to use simulation for decision support during ongoing outbreaks. Improved run-time performance enables new applications of pandemic simulations, and can potentially allow decision makers to explore different scenarios and intervention effects. Parallelization of infection-probability calculations and multicore architectures can take advantage of modern processors to achieve significant run-time performance improvements. However, because of the varying computational load during each simulation run, which originates from the changing number of infectious persons during the outbreak, it is not useful to us the same multicore setup during the simulation run. The best performance can be achieved by dynamically changing the use of the available processor cores to balance the overhead of multithreading with the performance gains of parallelization.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Infektionsmedicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Infectious Medicine (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)