Scientific Computing's Productivity Gridlock: How Software Engineering Can Help

Hardware improvements do little to improve real productivity in scientific programming. Indeed, the dominant barriers to productivity improvement are now in the software processes. To break the gridlock, we must establish a degree of cooperation and collaboration with the software engineering commun...

Full description

Saved in:
Bibliographic Details
Published in:Computing in science & engineering 2009-11, Vol.11 (6), p.30-39
Main Authors: Faulk, Stuart, Loh, Eugene, Vanter, Michael L. Van De, Squires, Susan, Votta, Lawrence G.
Format: Article
Language:English
Subjects:
Assembly
Communities
Computation
Computer industry
Computer programs
Cooperation
Hardware
Humans
Machinery production industries
Productivity
Programming
Sciences
Scientific computing
scientific programming
Software
Software engineering
Sun
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Hardware improvements do little to improve real productivity in scientific programming. Indeed, the dominant barriers to productivity improvement are now in the software processes. To break the gridlock, we must establish a degree of cooperation and collaboration with the software engineering community that does not yet exist.
ISSN:1521-9615
1558-366X
DOI:10.1109/MCSE.2009.205