A general data dependence analysis for parallelizing compilers-Reference-Cited by-同舟云学术

A general data dependence analysis for parallelizing compilers

Published:2008-01-28 Issue:2 Volume:45 Page:236-252
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Zhou Jing,Zeng Guosun

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11227-007-0168-7.pdf

Reference22 articles.

1. Shen Z, Shen Z, Li Z, Yew PC (1989) An empirical study on array subscripts and data dependencies. In: Proceedings of 1989 international conference on parallel processing, pp 145–152

2. Wolfe MJ, High performance compilers for parallel computing. Addison-Wesley, New York

3. Banerjee U, Eigenmann R, Nicolau A, Padua DA (1993) Automatic program parallelization. Proc IEEE 8(12):211–243

4. Pough W (1992) A practical algorithm for exact array dependence analysis. Commun ACM 35(8):102–114

5. Dantzing G, Eaves B (1973) Fourier–Motzkin elimination and its dual. J Comb Theory A 14(2):288–297

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. K-DT: a formal system for the evaluation of linear data dependence testing techniques;The Journal of Supercomputing;2017-11-15

2. A Survey of Loop Parallelization: Models, Approaches, and Recent Developments;International Journal of Grid and Distributed Computing;2016-11-30

3. An improved nonlinear data dependence test;The Journal of Supercomputing;2014-09-20

4. QP test: a dependence test for quadratic array subscripts;IET Software;2013-10

5. A Nonlinear Array Subscripts Dependence Test;2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems;2012-06