Steering and visualization

  • Computational steering is an investigative paradigm whereby the parameters of a running program can be altered according to what is seen in the currently visualized results of the simulation. For certain problems, interactive computation brings specific benefits: parameter sweeps can be completed more efficiently by quickly identifying combinations of input values that yield nonsensical results; ‘what-if’ studies may elucidate a number of related hypotheses without computing all of them from scratch; even simply tracking the development of a computation on-line may allow its early termination (with consequent resource savings) if it turns out its set-up was flawed for some reason. Having first come to prominence in the 1990s, the take-up of steering has accelerated in recent years: high performance computer (HPC) facilites have become more widely available, usage of the Grid is increasing, and visualization is experiencing take-up beyond the walls of the pioneering graphics laboratories that first nurtured it. All these factorsComputational steering is an investigative paradigm whereby the parameters of a running program can be altered according to what is seen in the currently visualized results of the simulation. For certain problems, interactive computation brings specific benefits: parameter sweeps can be completed more efficiently by quickly identifying combinations of input values that yield nonsensical results; ‘what-if’ studies may elucidate a number of related hypotheses without computing all of them from scratch; even simply tracking the development of a computation on-line may allow its early termination (with consequent resource savings) if it turns out its set-up was flawed for some reason. Having first come to prominence in the 1990s, the take-up of steering has accelerated in recent years: high performance computer (HPC) facilites have become more widely available, usage of the Grid is increasing, and visualization is experiencing take-up beyond the walls of the pioneering graphics laboratories that first nurtured it. All these factors combine to expand the range and difficulty of the scientific problems that can be tackled by steering. However, this benefit comes at the cost of increasing hardware and software complexity which itself may defeat further progress. This paper discusses these issues and, in the light of some users’ recent experiences, charts the challenges that still face us.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:H. Wright, R. H. Crompton, S. Kharche, Petra Wenisch
DOI:https://doi.org/10.1016/j.future.2008.06.015
ISSN:0167-739X
Titel des übergeordneten Werkes (Englisch):Future Generation Computer Systems
Untertitel (Englisch):Enabling technologies for computational science
Verlag:Elsevier
Verlagsort:Amsterdam
Dokumentart:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Veröffentlichung (online):30.01.2018
Jahr der Erstveröffentlichung:2010
Datum der Freischaltung:31.01.2018
GND-Schlagwort:Informatik; Visualisierung; Grid Computing; Biomechanik; Hydromechanik; Hochleistungsrechnen
Jahrgang:26
Ausgabe / Heft:3
Erste Seite:506
Letzte Seite:513
Fachbereiche und Zentrale Einrichtungen:FB3 Bauingenieurwesen
DDC-Klassifikation:000 Informatik, Informationswissenschaft, allgemeine Werke
Lizenz (Deutsch):License LogoCC - Namensnennung-Keine kommerzielle Nutzung-Weitergabe unter gleichen Bedingungen
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