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

Authors:
Stuart Faulk;Eugene Loh;Michael L. Van De Vanter;Susan Squires;Lawrence G. Votta
Affiliations:
University of Oregon;-;-;-;-
Venue:
Computing in Science and Engineering
Year:
2009

Citing 0
Cited 1

11 PFLOP/s simulations of cloud cavitation collapse

SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis

Quantified Score

Hi-index	0.00

Visualization

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.