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Sparse computation data dependence simplification for efficient compiler-generated inspectors

Mahdi Soltan Mohammadi 1 Michelle Mills Strout 1 Tomofumi Yuki 2 Kazem Cheshmi 3 Eddie Davis 4 Mary Hall 5 Maryam Mehri Dehnavi 6 Payal Nandy 5 Catherine Olschanowsky 4 Anand Venkat 5
1 University of Arizona
2 CAIRN - Energy Efficient Computing ArchItectures with Embedded Reconfigurable Resources
Inria Rennes – Bretagne Atlantique , IRISA-D3 - ARCHITECTURE
3 Concordia University [Montreal]
4 Boise State University
5 University of Utah
6 University of Toronto
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Conference papers
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https://hal.inria.fr/hal-02396761
Contributor : Tomofumi Yuki <>
Submitted on : Friday, December 6, 2019 - 10:59:36 AM
Last modification on : Saturday, July 11, 2020 - 3:14:57 AM

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UNIV-RENNES1 | CENTRALESUPELEC | INRIA | UNIV-RENNES | IRISA | CNRS | UR1-UFR-ISTIC | INSA-RENNES

Citation

Mahdi Soltan Mohammadi, Michelle Mills Strout, Tomofumi Yuki, Kazem Cheshmi, Eddie Davis, et al.. Sparse computation data dependence simplification for efficient compiler-generated inspectors. PLDI 2019 - 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, Jun 2019, Phoenix, United States. pp.594-609, ⟨10.1145/3314221.3314646⟩. ⟨hal-02396761⟩

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