ApproxTuner DNN Models
Citation:
Zhao, Yifan; Sharif, Hashim; Adve, Vikram; Misailovic, Sasa (2021): ApproxTuner DNN Models. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6565690_V1
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Dataset Description

DNN weights used in the evaluation of the ApproxTuner system. Link to paper: https://dl.acm.org/doi/10.1145/3437801.3446108
Subject Technology and Engineering
License CC BY
Corresponding Creator Yifan Zhao
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Related Materials:
   Article Hashim Sharif, Yifan Zhao, Maria Kotsifakou, Akash Kothari, Ben Schreiber, Elizabeth Wang, Yasmin Sarita, Nathan Zhao, Keyur Joshi, Vikram S. Adve, Sasa Misailovic, and Sarita Adve. 2021. ApproxTuner: a compiler and runtime system for adaptive approximations. In Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP '21). Association for Computing Machinery, New York, NY, USA, 262–277. DOI:https://doi.org/10.1145/3437801.3446108
Version DOI Comment Publication Date
1 10.13012/B2IDB-6565690_V1 https://databank.illinois.edu/datasets/IDB-6565690/edit#relatedPanel 2021-03-23
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