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A Variation-Tolerant In-Memory Machine Learning Classifier via On-Chip Training.

S. Gonugondla, M. Kang, and N. Shanbhag. IEEE J. Solid State Circuits, 53 (11): 3163-3173 (2018)

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Jorge Mínguez

José Angel Minguet Rodriguez

Charles Minguet

Mihyun Kang

Ewha Kang

Other publications of authors with the same name

Dirac fermions and flat bands in the ideal kagome metal FeSnM. Kang, L. Ye, S. Fang, J. You, A. Levitan, M. Han, J. Facio, C. Jozwiak, A. Bostwick, E. Rotenberg and 11 other author(s). Nat. Mater., (Feb 9, 2019)Twofold van Hove singularity and origin of charge order in topological kagome superconductor CsV$_3$Sb$_5$M. Kang, S. Fang, J. Kim, B. Ortiz, S. Ryu, J. Kim, J. Yoo, G. Sangiovanni, D. Di Sante, B. Park and 7 other author(s). Nat. Phys., (Jan 13, 2022)Understanding and Reducing Weight-Load Overhead of Systolic Deep Learning Accelerators.J. Joo, M. Yoon, J. Choi, M. Kang, J. Lee, J. So, I. Yun, Y. Kwon, and K. Kim. ISOCC, page 413-414. IEEE, (2021)52.5 TOPS/W 1.7GHz Reconfigurable XGBoost Inference Accelerator Based on Modular-Unit-Tree with Dynamic Data and Compute Gating.C. Song, Y. Li, A. Ramnani, P. Agrawal, P. Agrawal, S. Jang, S. Lee, T. Rosing, and M. Kang. CICC, page 1-2. IEEE, (2024)RaPiD: AI Accelerator for Ultra-low Precision Training and Inference.S. Venkataramani, V. Srinivasan, W. Wang, S. Sen, J. Zhang, A. Agrawal, M. Kar, S. Jain, A. Mannari, H. Tran and 44 other author(s). ISCA, page 153-166. IEEE, (2021)A 19.4 nJ/decision 364K decisions/s in-memory random forest classifier in 6T SRAM array.M. Kang, S. Gonugondla, and N. Shanbhag. ESSCIRC, page 263-266. IEEE, (2017)An energy-efficient memory-based high-throughput VLSI architecture for convolutional networks.M. Kang, S. Gonugondla, M. Keel, and N. Shanbhag. ICASSP, page 1037-1041. IEEE, (2015)A Variation-Tolerant In-Memory Machine Learning Classifier via On-Chip Training.S. Gonugondla, M. Kang, and N. Shanbhag. IEEE J. Solid State Circuits, 53 (11): 3163-3173 (2018)ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation.T. Tran, M. Kang, and D. Kim. IJCNN, page 1-8. IEEE, (2021)Deep In-Memory Architectures in SRAM: An Analog Approach to Approximate Computing.M. Kang, S. Gonugondla, and N. Shanbhag. Proc. IEEE, 108 (12): 2251-2275 (2020)

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Disambiguation of "Kang, Mingu"

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A Variation-Tolerant In-Memory Machine Learning Classifier via On-Chip Training.

Please choose a person to relate this publication to

Jorge Mínguez

José Angel Minguet Rodriguez

Charles Minguet

Mihyun Kang

Ewha Kang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kang, Mingu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Variation-Tolerant In-Memory Machine Learning Classifier via On-Chip Training.

Please choose a person to relate this publication to

Jorge Mínguez

José Angel Minguet Rodriguez

Charles Minguet

Mihyun Kang

Ewha Kang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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A Variation-Tolerant In-Memory Machine Learning Classifier via On-Chip Training.