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2020 – today
- 2023
[c10]Ruibin Mao
, Xia Sheng, Catherine Graves, Cong Xu, Can Li:
ReRAM-based graph attention network with node-centric edge searching and hamming similarity. DAC 2023: 1-6- [c9]Aishwarya Natarajan, Luca Buonanno, Todd Richmond, David Vickers, Xia Sheng, John Moon, Darrin Miller, Giacomo Pedretti, Catherine Graves, Jim Ignowski:
Design Space Exploration of Analog CAM for Tree-Based Models. MWSCAS 2023: 93-97 - [i4]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:
X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs. CoRR abs/2304.01285 (2023) - 2022
- [c8]Giacomo Pedretti, Sergey Serebryakov, John Paul Strachan, Catherine E. Graves:
A general tree-based machine learning accelerator with memristive analog CAM. ISCAS 2022: 220-224 - [i3]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:
Experimentally realized memristive memory augmented neural network. CoRR abs/2204.07429 (2022) - 2021
- [i2]Giacomo Pedretti, Catherine E. Graves, Can Li, Sergey Serebryakov, Xia Sheng, Martin Foltin, Ruibin Mao, John Paul Strachan:
Tree-based machine learning performed in-memory with memristive analog CAM. CoRR abs/2103.08986 (2021) - 2020
- [e1]Maurizio Palesi, Gianluca Palermo, Catherine Graves, Eishi Arima:
Proceedings of the 17th ACM International Conference on Computing Frontiers, CF 2020, Catania, Sicily, Italy, May 11-13, 2020. ACM 2020, ISBN 978-1-4503-7956-4 [contents]
2010 – 2019
- 2019
- [c7]Catherine Graves:
High performance, power efficient hardware accelerators: emerging devices, circuits and architecture co-design. CF 2019: 1 - [c6]Raymond G. Beausoleil, Thomas Van Vaerenbergh, Kirk Bresniker, Catherine Graves, Kimberly Keeton, Suhas Kumar, Can Li, Dejan S. Milojicic, Sergey Serebryakov, John Paul Strachan:
Future Computing Systems (FCS) to Support "Understanding" Capability. ICRC 2019: 88-97 - [p1]Suhas Kumar, Gary Gibson, Catherine E. Graves, Matthew D. Pickett, John Paul Strachan, R. Stanley Williams:
The Art and Science of Constructing a Memristor Model: Updated. Handbook of Memristor Networks 2019: 267-285 - [i1]Can Li, Catherine E. Graves, Darrin Miller, John Paul Strachan:
Analog content addressable memories with memristors. CoRR abs/1907.08177 (2019) - 2018
- [c5]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:
Regular Expression Matching with Memristor TCAMs. ICRC 2018: 1-11 - [c4]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:
Large Memristor Crossbars for Analog Computing. ISCAS 2018: 1-4 - [c3]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:
Regular Expression Matching with Memristor TCAMs for Network Security. NANOARCH 2018: 65-71 - 2017
- [c2]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:
Generalize or Die: Operating Systems Support for Memristor-Based Accelerators. ICRC 2017: 1-8 - 2016
- [c1]Miao Hu, John Paul Strachan, Zhiyong Li, Emmanuelle M. Grafals, Noraica Davila, Catherine Graves, Sity Lam, Ning Ge, Jianhua Joshua Yang, R. Stanley Williams:
Dot-product engine for neuromorphic computing: programming 1T1M crossbar to accelerate matrix-vector multiplication. DAC 2016: 19:1-19:6
Coauthor Index
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