Parker Hill

According to our database, Parker Hill authored at least 7 papers between 2016 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Outlier Detection for Improved Data Quality and Diversity in Dialog Systems.

Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction.

Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Bridging the Scalability Gap by Exploiting Error Tolerance for Emerging Applications.

Parker Hill

PhD thesis, 2018

Rethinking Numerical Representations for Deep Neural Networks.

Parker Hill, Babak Zamirai, Shengshuo Lu, Yu-Wei Chao, Michael Laurenzano, Mehrzad Samadi, Marios C. Papaefthymiou, Scott A. Mahlke, Thomas F. Wenisch, Jia Deng, Lingjia Tang, Jason Mars

CoRR, 2018

2017

DeftNN: addressing bottlenecks for DNN execution on GPUs via synapse vector elimination and near-compute data fission.

Parker Hill, Animesh Jain, Mason Hill, Babak Zamirai, Chang-Hong Hsu, Michael A. Laurenzano, Scott A. Mahlke, Lingjia Tang, Jason Mars

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017

2016

Input responsiveness: using canary inputs to dynamically steer approximation.

Michael A. Laurenzano, Parker Hill, Mehrzad Samadi, Scott A. Mahlke, Jason Mars, Lingjia Tang

Proceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2016

Concise loads and stores: The case for an asymmetric compute-memory architecture for approximation.

Animesh Jain, Parker Hill, Shih-Chieh Lin, Muneeb Khan, Md. Enamul Haque, Michael A. Laurenzano, Scott A. Mahlke, Lingjia Tang, Jason Mars

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016