Component Based Programming in Scientific Computing: The Viable Approach
Component Based Programming in Scientific Computing: The Viable Approach
Computational scientists are facing a new era where the old ways of developing and reusing code have to be left behind and a few daring steps are to be made towards new horizons. The present work analyzes the needs that drive this change, the factors that contribute to the inertia of the community and slow the transition, the status and perspective of present attempts, the principle, practical and technical problems that are to be addressed in the short and long run.
D.2.12, Computational Engineering, Finance, and Science (cs.CE), FOS: Computer and information sciences, D.2.13, D.2.6, D.2.9, D.2.13; D.2.12; D.2.11; D.2.9; D.2.6, Computer Science - Computational Engineering, Finance, and Science, D.2.11
D.2.12, Computational Engineering, Finance, and Science (cs.CE), FOS: Computer and information sciences, D.2.13, D.2.6, D.2.9, D.2.13; D.2.12; D.2.11; D.2.9; D.2.6, Computer Science - Computational Engineering, Finance, and Science, D.2.11
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!