Examining the expert gap in parallel programming

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8097 LNCS, Issue , 2013, Pages 434-445

  Nanz, Sebastian ^a   West, Scott ^a   Da Silveira, Kaue Soares ^b  

^a ETH ZURICH   (Switzerland)

^b GOOGLE   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK PROGRAMS; CONCURRENCY ERRORS; DOMAIN EXPERTS; EXPERT KNOWLEDGE; PARALLEL PROGRAM; PROGRAM PERFORMANCE; PROGRAMMING DISCIPLINE; THREADING BUILDING BLOCKS;

PARALLEL ARCHITECTURES;

PARALLEL PROGRAMMING;

EID: 84883197895     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40047-6_45     Document Type: Conference Paper

References (18)

1. Bal, H.E.: A comparative study of five parallel programming languages. Future Generation Computer Systems 8(1-3), 121-135 (1992)
2. Blumofe, R.D., Joerg, C.F., Kuszmaul, B.C., Leiserson, C.E., Randall, K.H., Zhou, Y.: Cilk: an efficient multithreaded runtime system. In: PPoPP 1995, pp. 207-216. ACM (1995)
3. Burkhart, H., Sathe, M., Christen, M., Rietmann, M., Schenk, O.: Run, stencil, run: HPC productivity studies in the classroom. In: PGAS 2012 (2012)
4. Cantonnet, F., Yao, Y., Zahran, M.M., El-Ghazawi, T.A.: Productivity analysis of the UPC language. In: IPDPS 2004. IEEE Computer Society (2004)
5. Chamberlain, B., Callahan, D., Zima, H.: Parallel programmability and the Chapel language. Int. J. High Perform. Comput. Appl. 21(3), 291-312 (2007)
6. Cole, M.: Algorithmic skeletons: structured management of parallel computation. MIT Press (1991)
7. Ebcioglu, K., Sarkar, V., El-Ghazawi, T., Urbanic, J.: An experiment in measuring the productivity of three parallel programming languages. In: P-PHEC 2006, pp. 30-37 (2006)
8. Go programming language, http://golang.org/
9. Hoare, C.A.R.: Communicating Sequential Processes. Prentice-Hall (1985)
10. Hochstein, L., Carver, J., Shull, F., Asgari, S., Basili, V.: Parallel programmer productivity: A case study of novice parallel programmers. In: SC 2005. IEEE Computer Society (2005)
11. Nanz, S., Torshizi, F., Pedroni, M., Meyer, B.: Design of an empirical study for comparing the usability of concurrent programming languages. In: ESEM 2011, pp. 325-334. IEEE Computer Society (2011)
12. Nanz, S., West, S., Soares da Silveira, K., Meyer, B.: Benchmarking usability and performance of multicore languages. In: ESEM 2013. IEEE Computer Society (2013)
13. Okur, S., Dig, D.: How do developers use parallel libraries? In: FSE 2012, pp. 54:1-54:11. ACM (2012)
14. Reinders, J.: Intel threading building blocks - outfitting C++ for multi-core processor parallelism. O'Reilly (2007)
15. Rossbach, C.J., Hofmann, O.S., Witchel, E.: Is transactional programming actually easier? In: PPoPP 2010, pp. 47-56. ACM (2010)
16. Skillicorn, D.B., Talia, D.: Models and languages for parallel computation. ACM Comput. Surv. 30(2), 123-169 (1998)
17. Szafron, D., Schaeffer, J.: An experiment to measure the usability of parallel programming systems. Concurrency: Pract. Exper. 8(2), 147-166 (1996)
18. Wilson, G.V., Irvin, R.B.: Assessing and comparing the usability of parallel programming systems. Tech. Rep. CSRI-321, University of Toronto (1995)