High performance computing productivity model synthesis

International Journal of High Performance Computing Applications

Volumn 18, Issue 4, 2004, Pages 505-516

  Kepner, Jeremy ^a  

^a MIT LINCOLN LABORATORY   (United States)

Author keywords

Benchmarks; Execution time; Productivity; Software development; Systems

Indexed keywords

ASYMPTOTIC STABILITY; BENCHMARKING; EXTRAPOLATION; MATHEMATICAL MODELS; PRODUCTIVITY; SOFTWARE ENGINEERING; TECHNOLOGY;

ASYMPTOTIC ANALYSIS; EXECUTION TIME; SYSTEMS PRODUCTIVITY;

COMPUTER SYSTEMS;

EID: 9744274567     PISSN: 10943420     EISSN: None     Source Type: Journal    
DOI: 10.1177/1094342004048542     Document Type: Article

References (10)

1. Bailey, D. H. et al. 1994. The NAS Parallel Benchmarks. Technical Report RNR-94-007, NASA Ames Research Center, CA.
2. Boehm, B. 1981. Software Engineering Economics, Prentice-Hall, Englewood Cliffs, NJ.
3. Boehm, B. et al. 1998. COCOMO II Model Definition Manual, USC.
4. Chamberlain, B., Deitz, S., and Snyder, L. 2000. A comparative study of the NAS MG benchmark across parallel languages and architectures. Proceedings of the 2000 ACM/IEEE Supercomputing Conference on High Performance Networking and Computing (SC2000), Dallas, TX, November.
5. Jones, C. 1991. Applied Software Measurement, McGraw-Hill, New York.
6. Kennedy, K., Koelbel, C., and Schreiber, R. 2004. International Journal of High Performance Computing Applications 18(4).
7. Post, M. and Kendall, R. 2004. International Journal of High Performance Computing Applications 18(4).
8. Selby, R. 1988. Empirically analyzing software reuse in a production environment. Software Reuse: Emerging Technology, W. Tracz, editor, IEEE Computer Society Press, Los Alamitos, CA, 176-189.
9. Snir, M. and Bader, D. 2004. International Journal of High Performance Computing Applications 18(4).
10. Sterling, T. 2004. International Journal of High Performance Computing Applications 18(4).