Authors:
Stuart Faulk,
Eugene Loh,
Michael L. Van De Vanter,
Susan Squires,
Lawrence G. Votta, Jr
Computing in Science and Engineering, Volume 11, Number 6, Novenber/December 2009, pp. 30-39. doi:10.1109/MCSE.2009.205 (PDF )
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.
Computing in Science and Engineering, Volume 11, Number 6, Novenber/December 2009, pp. 30-39. doi:10.1109/MCSE.2009.205 (PDF )