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

被引：16
|
作者：
Faulk, Stuart [1 ]
Loh, Eugene [2 ]
Van De Vanter, Michael L. [2 ]
Squires, Susan
Votta, Lawrence G.
机构：
[1] Univ Oregon, Dept Comp Sci, Eugene, OR 97403 USA
[2] Sun Microsyst Inc, Santa Clara, CA 95054 USA
来源：
COMPUTING IN SCIENCE & ENGINEERING | 2009年 / 11卷 / 06期
关键词：
Software engineering;
D O I：
10.1109/MCSE.2009.205
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：30 / 39
页数：10
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