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Publikation: Teil einer Monographie/eines Konferenzbandes

Performance issues in evaluating models and designing simulation algorithms


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 Diese Publikation in der Universitätsbibliographie Diese Publikation im GBV-Katalog

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 Link zur UB Rostock Link zum GBV-Katalog
Jeschke, Matthias
Leye, Stefan
Uhrmacher, Adelinde Link zur UB Rostock Link zum GBV-Katalog

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