A Design of GPU-Based Quantitative Model Checking-Reference-Cited by-同舟云学术

A Design of GPU-Based Quantitative Model Checking

Published:2021 Issue: Volume: Page:441-463
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Kwon YoungMin,Kim Eunhee

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-67067-2_20

Reference34 articles.

1. LTLC-GPU. http://www3.cs.stonybrook.edu/~youngkwon/sw/LTLCCuda.v0.8.190224.zip

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3. Ahamed, A.K.C., Magoulès, F.: GPU accelerated substructuring methods for sparse linear systems. In: 2016 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC) and 15th International Symposium on Distributed Computing and Applications for Business Engineering (DCABES), pp. 614–625. IEEE (2016)

4. Alur, R., Dill, D.L.: A theory of timed automata. Theor. Comput. Sci. 126, 183–235 (1994)

5. Lecture Notes in Computer Science;F Banterle,2007

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