Rathinakumar Appuswamy

Joined

July 2019

Names

Emails

****@us.ibm.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

International Business Machines (ibm.com)

2011 – 2022

PhD student

University of California, San Diego (ucsd.edu)

2005 – 2011

Advisors, Relations & Conflicts

No relations added

Expertise

Hardware architecture

accelerators and ecosystem

2015 – 2023

Machine learning

neural networks and deep learning

2011 – 2023

Information Theory

Coding theory and applications

2002 – 2023

Publications

Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference
Deepika Bablani, Jeffrey L McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Dharmendra Modha
- 27 Mar 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference
Deepika Bablani, Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Dharmendra S. Modha
- 2023 (modified: 27 Mar 2023)
- CoRR 2023
- Readers: Everyone
Learned Step Size quantization
Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha
- 2020 (modified: 03 Nov 2022)
- ICLR 2020
- Readers: Everyone
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Inference
Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Deepika Bablani, John V. Arthur, Izzet B. Yildiz, Dharmendra S. Modha
- 2019 (modified: 03 Nov 2022)
- EMC2@NeurIPS 2019
- Readers: Everyone
Learned Step Size Quantization
Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha
- 2019 (modified: 03 Nov 2022)
- CoRR 2019
- Readers: Everyone
TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years
Michael V. DeBole, Brian Taba, Arnon Amir, Filipp Akopyan, Alexander Andreopoulos, William P. Risk, Jeff Kusnitz, Carlos Ortega Otero, Tapan K. Nayak, Rathinakumar Appuswamy, Peter J. Carlson, Andrew S. Cassidy, Pallab Datta, Steven K. Esser, Guillaume Garreau, Kevin L. Holland, Scott Lekuch, Michael Mastro, Jeffrey L. McKinstry, Carmelo di Nolfo et al. (8 additional authors not shown)
- 2019 (modified: 27 Mar 2023)
- Computer 2019
- Readers: Everyone
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference
Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Deepika Bablani, John V. Arthur, Izzet B. Yildiz, Dharmendra S. Modha
- 2018 (modified: 03 Nov 2022)
- CoRR 2018
- Readers: Everyone
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications
Jun Sawada, Filipp Akopyan, Andrew S. Cassidy, Brian Taba, Michael V. DeBole, Pallab Datta, Rodrigo Alvarez-Icaza, Arnon Amir, John V. Arthur, Alexander Andreopoulos, Rathinakumar Appuswamy, Heinz Baier, Davis Barch, David J. Berg, Carmelo di Nolfo, Steven K. Esser, Myron Flickner, Thomas A. Horvath, Bryan L. Jackson, Jeff Kusnitz et al. (26 additional authors not shown)
- 2016 (modified: 16 Apr 2023)
- SC 2016
- Readers: Everyone
Convolutional networks for fast, energy-efficient neuromorphic computing
Steven K. Esser, Paul A. Merolla, John V. Arthur, Andrew S. Cassidy, Rathinakumar Appuswamy, Alexander Andreopoulos, David J. Berg, Jeffrey L. McKinstry, Timothy Melano, Davis R. Barch, Carmelo di Nolfo, Pallab Datta, Arnon Amir, Brian Taba, Myron D. Flickner, Dharmendra S. Modha
- 2016 (modified: 27 Mar 2023)
- Proc. Natl. Acad. Sci. USA 2016
- Readers: Everyone
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
Steven K. Esser, Paul A. Merolla, John V. Arthur, Andrew S. Cassidy, Rathinakumar Appuswamy, Alexander Andreopoulos, David J. Berg, Jeffrey L. McKinstry, Timothy Melano, Davis R. Barch, Carmelo di Nolfo, Pallab Datta, Arnon Amir, Brian Taba, Myron D. Flickner, Dharmendra S. Modha
- 2016 (modified: 27 Mar 2023)
- CoRR 2016
- Readers: Everyone

View all 32 publications

Co-Authors

View all 91 co-authors