ApproxTuner DNN Models

Name: ApproxTuner DNN Models
License: http://creativecommons.org/licenses/by/4.0/

Zhao, Yifan; Sharif, Hashim; Adve, Vikram; Misailovic, Sasa

doi:10.13012/B2IDB-6565690_V1

Illinois Data Bank - Dataset

ApproxTuner DNN Models

Cite this dataset:

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

Use this persistent URL to link to this dataset:


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
Downloaded	623 times
Related Materials (1) 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

Versions

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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RelatedMaterial	update: {"uri"=>[nil, "10.1145/3437801.3446108"], "uri_type"=>[nil, "DOI"], "datacite_list"=>[nil, "IsSupplementTo"]}	2021-03-29T22:37:14Z