Application of a development time productivity metric to parallel software development

Proceedings - International Conference on Software Engineering

Volumn , Issue , 2005, Pages 8-12

  Funk, Andrew ^a   Basili, Victor ^b   Hochstein, Lorin ^b   Kepner, Jeremy ^a  

^a MIT LINCOLN LABORATORY   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK CODES; DEVELOPMENT TIME; HARDWARE PERFORMANCE; HIGH PERFORMANCE COMPUTING SYSTEMS; PARALLEL SOFTWARE DEVELOPMENT; PROGRAMMING ASSIGNMENTS; PROGRAMMING MODELS; RUNTIME PERFORMANCE; SOFTWARE DEVELOPMENT;

COMPUTER SOFTWARE SELECTION AND EVALUATION; PRODUCTIVITY;

SOFTWARE DESIGN;

EID: 77954450663     PISSN: 02705257     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1145319.1145323     Document Type: Conference Paper

References (9)

1. High Productivity Computer Systems http://www.HighProductivity.org
2. Kepner, J. "HPC Productivity Model Synthesis." IJHPCA Special Issue on HPC Productivity, Vol. 18, No. 4, SAGE 2004
3. Humphrey, W. S. A Discipline for Software Engineering. Addison-Wesley, USA, 1995
4. NAS Parallel Benchmarks. http://www.nas.nasa.gov/Software/NPB/
5. ZPL. http://www.cs.washington.edu/research/zpl/home/
6. Wheeler, D. SLOCcount. http://www.dwheeler.com/sloccount/
7. HPC Challenge. http://icl.cs.utk.edu/hpcc/
8. Haney, R. et. al. "pMatlab Takes the HPC Challenge." Poster presented at High Performance Embedded Computing (HPEC) workshop, Lexington, MA. 28-30 Sept. 2004
9. Choy, R. and Edelman, A. MATLAB*P 2.0: A unified parallel MATLAB. MIT DSpace, Computer Science collection, Jan. 2003. http://hdl.handle.net/1721. 1/3687