Understanding the high-performance-computing community: A software engineer's perspective

被引：62
|
作者：
Basili, Victor R. [1 ,2 ]
Cruzes, Daniela [1 ,2 ]
Carver, Jeffrey C. [3 ]
Hochstein, Lorin M. [4 ,5 ]
Hollingsworth, Jeffrey K. [1 ]
Zelkowitz, Marvin V. [1 ]
Shull, Forrest [2 ]
机构：
[1] Univ Maryland, College Pk, MD 20742 USA
[2] Fraunhofer Ctr Expt Software Engn, College Pk, MD USA
[3] Mississippi State Univ, Dept Comp Sci & Engn, Mississippi State, MS 39762 USA
[4] Univ Nebraska, Dept Comp Sci & Engn, Lincoln, NE 68583 USA
[5] Univ So Calif, Informat Sci Inst, Arlington, VA USA
来源：
IEEE SOFTWARE | 2008年 / 25卷 / 04期
关键词：
Computational science; Empirical software engineering; High-performance computing; Productivity;
D O I：
10.1109/MS.2008.103
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Studies of computational scientists developing software for high-performance computing systems indicate that these scientists face unique software engineering issues. Previous failed attempts to transfer SE technologies to this domain haven't always taken these issues into account. To support scientific-software development, the SE community can disseminate appropriate practices and processes, develop educational materials specifically for computational scientists, and investigate the large-scale reuse of development frameworks. © 2008 IEEE.
引用
收藏
页码：29 / 36
页数：8
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