Catherine Graves

According to our database, Catherine Graves authored at least 15 papers between 2016 and 2023.

Collaborative distances:

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

2023

X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs.

Giacomo Pedretti, John Moon, Pedro Bruel, Sergey Serebryakov, Ron M. Roth, Luca Buonanno, Tobias Ziegler, Cong Xu, Martin Foltin, Paolo Faraboschi, Jim Ignowski, Catherine E. Graves

CoRR, 2023

Design Space Exploration of Analog CAM for Tree-Based Models.

Aishwarya Natarajan, Luca Buonanno, Todd Richmond, David Vickers, Xia Sheng, John Moon, Darrin Miller, Giacomo Pedretti, Catherine Graves, Jim Ignowski

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

ReRAM-based graph attention network with node-centric edge searching and hamming similarity.

Ruibin Mao, Xia Sheng, Catherine Graves, Cong Xu, Can Li

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Experimentally realized memristive memory augmented neural network.

Ruibin Mao, Bo Wen, Yahui Zhao, Arman Kazemi, Ann Franchesca Laguna, Michael T. Niemier, X. Sharon Hu, Xia Sheng, Catherine E. Graves, John Paul Strachan, Can Li

CoRR, 2022

A general tree-based machine learning accelerator with memristive analog CAM.

Giacomo Pedretti, Sergey Serebryakov, John Paul Strachan, Catherine E. Graves

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021

Tree-based machine learning performed in-memory with memristive analog CAM.

Giacomo Pedretti, Catherine E. Graves, Can Li, Sergey Serebryakov, Xia Sheng, Martin Foltin, Ruibin Mao, John Paul Strachan

CoRR, 2021

2019

Analog content addressable memories with memristors.

Can Li, Catherine E. Graves, Darrin Miller, John Paul Strachan

CoRR, 2019

Future Computing Systems (FCS) to Support "Understanding" Capability.

Raymond G. Beausoleil, Thomas Van Vaerenbergh, Kirk Bresniker, Catherine Graves, Kimberly Keeton, Suhas Kumar, Can Li, Dejan S. Milojicic, Sergey Serebryakov, John Paul Strachan

Proceedings of the 2019 IEEE International Conference on Rebooting Computing, 2019

High performance, power efficient hardware accelerators: emerging devices, circuits and architecture co-design.

Catherine Graves

Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

The Art and Science of Constructing a Memristor Model: Updated.

Suhas Kumar, Gary Gibson, Catherine E. Graves, Matthew D. Pickett, John Paul Strachan, R. Stanley Williams

Proceedings of the Handbook of Memristor Networks., 2019

2018

Regular Expression Matching with Memristor TCAMs for Network Security.

Catherine E. Graves, Wen Ma, Xia Sheng, Brent Buchanan, Le Zheng, Sity Lam, Xuema Li, Sai Rahul Chalamalasetti, Lennie Kiyama, Martin Foltin, John Paul Strachan, Matthew P. Hardy

Proceedings of the 14th IEEE/ACM International Symposium on Nanoscale Architectures, 2018

Large Memristor Crossbars for Analog Computing.

Can Li, Yunning Li, Hao Jiang, Wenhao Song, Peng Lin, Zhongrui Wang, J. Joshua Yang, Qiangfei Xia, Miao Hu, Eric Montgomery, Jiaming Zhang, Noraica Dávila, Catherine E. Graves, Zhiyong Li, John Paul Strachan, R. Stanley Williams, Ning Ge, Mark Barnell, Qing Wu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Regular Expression Matching with Memristor TCAMs.

Catherine E. Graves, Wen Ma, Xia Sheng, Brent Buchanan, Le Zheng, Sity Lam, Xuema Li, Sai Rahul Chalamalasetti, Lennie Kiyama, Martin Foltin, Matthew P. Hardy, John Paul Strachan

Proceedings of the 2018 IEEE International Conference on Rebooting Computing, 2018

2017

Generalize or Die: Operating Systems Support for Memristor-Based Accelerators.

Pedro Bruel, Sai Rahul Chalamalasetti, Chris I. Dalton, Izzat El Hajj, Alfredo Goldman, Catherine Graves, Wen-Mei W. Hwu, Phil Laplante, Dejan S. Milojicic, Geoffrey Ndu, John Paul Strachan

Proceedings of the IEEE International Conference on Rebooting Computing, 2017

2016

Dot-product engine for neuromorphic computing: programming 1T1M crossbar to accelerate matrix-vector multiplication.

Miao Hu, John Paul Strachan, Zhiyong Li, Emmanuelle M. Grafals, Noraica Davila, Catherine Graves, Sity Lam, Ning Ge, Jianhua Joshua Yang, R. Stanley Williams

Proceedings of the 53rd Annual Design Automation Conference, 2016