Parallel programmer productivity: A case study of novice parallel programmers

Proceedings of the ACM/IEEE 2005 Supercomputing Conference, SC'05

Volumn 2005, Issue , 2005, Pages

  Hochstein, Lorin ^a   Carver, Jeff ^c   Shull, Forrest ^b   Asgari, Sima ^a   Basili, Victor ^a,b   Hollingsworth, Jeffrey K ^a   Zelkowitz, Marvin V ^a,b  

^a UNIVERSITY OF MARYLAND   (United States)

^b Fraunhofer Center Maryland   (United States)

^c MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSROOM ENVIRONMENTS; HIGH PERFORMANCE COMPUTING (HPC); PARALLEL PROGRAMMER PRODUCTIVITY; PARALLEL PROGRAMMING MODEL;

DATA REDUCTION; EDUCATION COMPUTING; PARALLEL PROCESSING SYSTEMS; SOFTWARE ENGINEERING;

COMPUTER PROGRAMMING;

EID: 33845425580     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SC.2005.53     Document Type: Conference Paper

References (13)

1. S. Asgari, V. R. Basili, J. Carver, L. Hochstein, J. K. Hollingsworth, F. Shull, and M. V. Zelkowitz, "Challenges in Measuring HPCS Learner Productivity in an Age of Ubiquitous Computing: The HPCS Program," In Proceedings of ICSE Workshop on High Productivity Computing. May 2004, Edinburgh, Scotland, pp. pp. 27-31.
2. J. C. Browne, T. Lee, and J. Werth, "Experimental Evaluation of a Reusability-Oriented Parallel Programming Environ-ment," IEEE Transactions on Software Engineering, 16(2), 1990, pp. 111-120.
3. D. Campbell and J. Stanley, Experimental and Quasi-Experimental Designs for Research, 1963, Boston: Houghton Mifflin.
4. F. Cantonnet, Y. Yao, M. Zahran, and T. El-Ghazawi, "Productivity Analysis of the UPC Language," IPDPS 2004 PMEO workshop. April 2004, Santa FE, NM.
5. J. Carver, L. Jaccheri, S. Morasca, and F. Shull, "Issues Using Students in Empirical Studies in Software Engi neering Education.," Proceedings of 2003 International Symposium on Software Metrics (METRICS). Sep., 2003, pp. 239-249.
6. B. L. Chamberlain, S. J. Dietz, and L. Snyder, "A comparative study of the NAS MG benchmark across parallel languages and architectures," SC'2000. Nov. 2000.
7. th ed. 2002, Pacific Grove: Duxbury.
8. L. Hochstein, V. Basili, M. Zelkowitz, J. K. Hollingsworth and J. Carver, "Combining self-reported and automatic data to improve effort measurement," Proc. Foundations of Software Engineering (FSE), Aug. 2005.
9. A. Hoisie, O. Lubeck, H. Wasserman, F. Petrini, and H. Alme, "A General Predictive Performance Model for Wavefront Algorithms on Clusters of SMPs," Proc. ICPP. 2000, pp. 219-229.
10. P. Husbands and C. Isbell, "MATLAB*P: A tool for interactive supercomputing," Proceedings of The Ninth SIAM Conference on Parallel Processing for Scientific Computing.
11. A. Snavely, L. Carrington, N. Wolter, J. Labarta, R. Badia, and A. Purkayastha, "A Framework for Application Performance Modeling and Prediction," Proceedings of SC2002. Nov. 2002, IEEE.
12. D. Szafron and J. Schaeffer, "An Experiment to Measure the Usability of Parallel Programming Systems," Concurrency: Practice and Experience, 8(2), 1996, pp. 147-166.
13. th ACM Symposium on Parallel Algorithms and Architectures (SPAA).