Nonlinear and symbolic data dependence testing

Author:

Blume W.,Eigenmann R.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Cited by 36 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. A study on popular auto-parallelization frameworks;Concurrency and Computation: Practice and Experience;2019-02-11

2. An Analytical Evaluation of Data Dependence Analysis Techniques;International Journal of Parallel Programming;2018-05-18

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

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

5. The Accuracy of the Non-continuous I Test for One-Dimensional Arrays with References Created by Induction Variables;Journal of Information Processing Systems;2014-12-31

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