Zur Seitennavigation oder mit Tastenkombination für den
accesskey
-Taste und Taste 1
Zum Seiteninhalt oder mit Tastenkombination für den
accesskey
und Taste 2
S
tartseite
A
nmelden
Hilfe
Sitemap
Impressum
Datenschutz
node2
Studentisches Leben
Veranstaltungen
Einrichtungen
Räume und Gebäude
Personen
Forschung
Startseite
Publikation: Teil einer Monographie/eines Konferenzbandes
Performance issues in evaluating models and designing simulation algorithms
Grunddaten
Links
Abstract
Autoren
Einrichtung
Grunddaten
Titel
Performance issues in evaluating models and designing simulation algorithms
Veröffentlicht in
International Workshop on High Performance Computational Systems Biology, 2009 : HIBI '09 ; 14 - 16 Oct. 2009, Trento, Italy. - Piscataway, NJ : IEEE
Erscheinungsjahr
2009
Seiten (von – bis)
71 – 80
Jahr
2009
Publikationsform
Elektronische Ressource
Publikationsart
Teil einer Monographie/eines Konferenzbandes
Sprache
Englisch
DOI
10.1109/HiBi.2009.16
Letzte Änderung
17.05.2019 16:32:08
Bearbeitungsstatus
durch UB Rostock abschließend validiert
Dauerhafte URL
http://purl.uni-rostock.de/fodb/pub/32481
Links zu Katalogen
Abstract
The increase and diversity of simulation methods bears witness of the need for more efficient discrete event simulations in computational biology but how efficient are those methods, and how to ensure an efficient simulation for a concrete model? As the performance of simulation methods depends on the model, the simulator, and the infrastructure, general answers to those questions are likely to remain illusive; they have to be sought individually and experimentally instead. This requires configurable implementations of many algorithms, means to define and conduct meaningful experiments on them, and mechanisms for storing and analyzing observed performance data. In this paper, we first overview basic approaches for improving simulation performance and illustrate the challenges when comparing different methods. We then argue that providing all the aforementioned components in a single tool, in our case the open source modeling and simulation framework JAMES II, reveals many synergies in effectively pursuing both questions. This is exemplified by presenting results of recent studies and introducing a new component to swiftly evaluate simulator code changes against previous experimental data.
Autoren
Ewald, Roland
Himmelspach, Jan
Jeschke, Matthias
Leye, Stefan
Uhrmacher, Adelinde
Externe Links
Beschreibung
Link
Link zur Online-Ressource
http://dx.doi.org/10.1109/HiBi.2009.16
Volltext
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5298696&tag=1
Einrichtung
IEF/Bereich Informatik