DocumentCode
1334676
Title
Scientific Computing´s Productivity Gridlock: How Software Engineering Can Help
Author
Faulk, Stuart ; Loh, Eugene ; Vanter, Michael L.Van De ; Squires, Susan ; Votta, Lawrence G.
Author_Institution
University of Oregon
Volume
11
Issue
6
fYear
2009
Firstpage
30
Lastpage
39
Abstract
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.
Keywords
Assembly; Computer industry; Hardware; Humans; Machinery production industries; Productivity; Programming; Scientific computing; Software engineering; Sun; Sciences; scientific programming; software engineering;
fLanguage
English
Journal_Title
Computing in Science & Engineering
Publisher
ieee
ISSN
1521-9615
Type
jour
DOI
10.1109/MCSE.2009.205
Filename
5337642
Link To Document