Title
Scientific Computing's Productivity Gridlock: How Software Engineering Can Help
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.
Year
DOI
Venue
2009
10.1109/MCSE.2009.205
Computing in Science and Engineering
Keywords
Field
DocType
hardware improvement,real productivity,software engineering community,dominant barrier,productivity gridlock,scientific computing,software engineering,software process,productivity improvement,scientific programming,assembly,hardware,sun,productivity,sciences,programming
Grid computing,Software engineering,Computer science,Gridlock,Software,Computational science,Scientific programming,Programming profession
Journal
Volume
Issue
ISSN
11
6
1521-9615
Citations 
PageRank 
References 
9
0.65
3
Authors
5
Name
Order
Citations
PageRank
Stuart R. Faulk114327.68
Eugene Loh2897.09
Michael L. Van De Vanter318718.58
Susan Squires490.65
Lawrence G. Votta51230140.43