Scientific Computing's Productivity Gridlock: How Software Engineering Can Help
Faulk, Stuart
Loh, Eugene
Vanter, Michael L. Van De
Squires, Susan
Votta, Lawrence G.
University of Oregon;
This paper appears in: Computing in Science & Engineering
Publication Date: Nov.-Dec. 2009
Volume: 11,
Issue: 6
On page(s): 30-39
ISSN: 1521-9615
Digital Object Identifier: 10.1109/MCSE.2009.205
Current Version Published: 2009-11-17
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.
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