Rathinakumar Appuswamy

42 papers A* 1A 2B 5Journal 22Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Probability of super-regular matrices and MDS codes over finite fields.
CoRR
Rathinakumar Appuswamy, Marco Bazzani, Spencer Congero, Joseph Connelly, Matthew Ekaireb, Kenneth Zeger
2025 J jnl
A Scalable NorthPole System with End-to-End Vertical Integration for Low-Latency and Energy-Efficient LLM Inference.
CoRR
Michael V. DeBole, Rathinakumar Appuswamy, Neil McGlohon, Brian Taba, Steven K. Esser, Filipp Akopyan, John V. Arthur, Arnon Amir, Alexander Andreopoulos, Peter J. Carlson, Andrew S. Cassidy, Pallab Datta, Myron D. Flickner, Rajamohan Gandhasri, Guillaume J. Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Tapan K. Nayak, Carlos Ortega Otero, Hartmut Penner, William P. Risk, Jun Sawada, Jay Sivagnaname, Daniel F. Smith, Rafael Sousa, Ignacio Terrizzano, Takanori Ueda, Trent Gray-Donald, David D. Cox, Dharmendra S. Modha
2025 — conf
SiLQ: Simple Large Language Model Quantization-Aware Training.
IJCNLP-AACL (Findings)
Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha
2025 J jnl
SiLQ: Simple Large Language Model Quantization-Aware Training.
CoRR
Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha
2025 — conf
The NorthPole Validator: A Cycle-Accurate Simulator for HW/SW Codesign of a Prescheduled Neural Inference Accelerator.
HPEC
Alexander Andreopoulos, Michael V. DeBole, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Tapan K. Nayak, Daniel F. Smith, Brian Taba, Filipp Akopyan, Rathinakumar Appuswamy, John V. Arthur, Andrew S. Cassidy, Pallab Datta, Carlos Ortega Otero, William P. Risk, Jun Sawada, Myron D. Flickner, Dharmendra S. Modha
2024 — conf
11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip.
ISSCC
Andrew S. Cassidy, John V. Arthur, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, Takanori Ueda, Dharmendra S. Modha
2024 — conf
Breakthrough Edge AI Inference Performance Using Northpole in 3U Vpx Form Factor.
HPEC
Filipp Akopyan, William P. Risk, John V. Arthur, Andrew S. Cassidy, Michael V. DeBole, Carlos Ortega Otero, Jun Sawada, Evan Colgan, Michael E. Criscolo, Phillip V. Mann, Heinz Baier, Kai Schleupen, Arnon Amir, Alexander Andreopoulos, Rathinakumar Appuswamy, Deepika Bablani, Peter J. Carlson, Pallab Datta, Steven K. Esser, Myron D. Flickner, Rajamohan Gandhasri, Guillaume J. Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Neil McGlohon, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, Jay Sivagnaname, Daniel F. Smith, Rafael Sousa, Brian Taba, Ignacio Terrizzano, Takanori Ueda, Dharmendra S. Modha
2024 — conf
Breakthrough Low-Latency, High-Energy-Efficiency LLM Inference Performance Using NorthPole.
HPEC
Rathinakumar Appuswamy, Michael V. DeBole, Brian Taba, Steven K. Esser, Andrew S. Cassidy, Arnon Amir, Alexander Andreopoulos, Deepika Bablani, Pallab Datta, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Neil McGlohon, Jeffrey L. McKinstry, Tapan K. Nayak, Daniel F. Smith, Rafael Sousa, Ignacio Terrizzano, Filipp Akopyan, Peter J. Carlson, Rajamohan Gandhasri, Guillaume Garreau, Nelson M. Gonzalez, Megumi Ito, Jennifer L. Klamo, Yutaka Y. Nakamura, Carlos Ortega Otero, William P. Risk, Jun Sawada, Kai Schleupen, Jay Sivagnaname, Matthew Stallone, Takanori Ueda, Myron D. Flickner, John V. Arthur, Rameswar Panda, David D. Cox, Dharmendra S. Modha
2023 J jnl
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference.
CoRR
Deepika Bablani, Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Dharmendra S. Modha
2023 — conf
IBM NorthPole Neural Inference Machine.
HCS
Dharmendra S. Modha, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, John V. Arthur, Andrew S. Cassidy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, Takanori Ueda
2020 A* conf
Learned Step Size quantization.
ICLR
Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha
2019 — conf
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Inference.
EMC2@NeurIPS
Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Deepika Bablani, John V. Arthur, Izzet B. Yildiz, Dharmendra S. Modha
2019 J jnl
Learned Step Size Quantization.
CoRR
Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha
2019 J jnl
TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years.
Computer
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, Brent Paulovicks, Jun Sawada, Kai Schleupen, Benjamin G. Shaw, Jennifer L. Klamo, Myron D. Flickner, John V. Arthur, Dharmendra S. Modha
2018 J jnl
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference.
CoRR
Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Deepika Bablani, John V. Arthur, Izzet B. Yildiz, Dharmendra S. Modha
2016 J jnl
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing.
CoRR
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 J jnl
Convolutional networks for fast, energy-efficient neuromorphic computing.
Proc. Natl. Acad. Sci. USA
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 J jnl
Deep neural networks are robust to weight binarization and other non-linear distortions.
CoRR
Paul Merolla, Rathinakumar Appuswamy, John V. Arthur, Steven K. Esser, Dharmendra S. Modha
2016 J jnl
Structured Convolution Matrices for Energy-efficient Deep learning.
CoRR
Rathinakumar Appuswamy, Tapan K. Nayak, John V. Arthur, Steven K. Esser, Paul Merolla, Jeffrey L. McKinstry, Timothy Melano, Myron Flickner, Dharmendra S. Modha
2016 A conf
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications.
SC
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, Scott Lekuch, Michael Mastro, Timothy Melano, Paul A. Merolla, Steven E. Millman, Tapan K. Nayak, Norm Pass, Hartmut E. Penner, William P. Risk, Kai Schleupen, Benjamin G. Shaw, Hayley Wu, Brian Giera, Adam T. Moody, T. Nathan Mundhenk, Brian Van Essen, Eric X. Wang, David P. Widemann, Qing Wu, William E. Murphy, Jamie K. Infantolino, James A. Ross, Dale R. Shires, Manuel M. Vindiola, Raju Namburu, Dharmendra S. Modha
2015 — conf
Backpropagation for Energy-Efficient Neuromorphic Computing.
NIPS
Steven K. Esser, Rathinakumar Appuswamy, Paul Merolla, John V. Arthur, Dharmendra S. Modha
2015 J jnl
Visual saliency on networks of neurosynaptic cores.
IBM J. Res. Dev.
Alexander Andreopoulos, Brian Taba, Andrew S. Cassidy, Rodrigo Alvarez-Icaza, Myron Flickner, William P. Risk, Arnon Amir, Paul Merolla, John V. Arthur, David J. Berg, Jeffrey A. Kusnitz, Pallab Datta, Steven K. Esser, Rathinakumar Appuswamy, Davis Barch, Dharmendra S. Modha
2014 J jnl
Computing Linear Functions by Linear Coding Over Networks.
IEEE Trans. Inf. Theory
Rathinakumar Appuswamy, Massimo Franceschetti
2014 A conf
Real-Time Scalable Cortical Computing at 46 Giga-Synaptic OPS/Watt with ~100× Speedup in Time-to-Solution and ~100, 000× Reduction in Energy-to-Solution.
SC
Andrew S. Cassidy, Rodrigo Alvarez-Icaza, Filipp Akopyan, Jun Sawada, John V. Arthur, Paul Merolla, Pallab Datta, Marc González Tallada, Brian Taba, Alexander Andreopoulos, Arnon Amir, Steven K. Esser, Jeff Kusnitz, Rathinakumar Appuswamy, Chuck Haymes, Bernard Brezzo, Roger Moussalli, Ralph Bellofatto, Christian W. Baks, Michael Mastro, Kai Schleupen, Charles E. Cox, Ken Inoue, Steven E. Millman, Nabil Imam, Emmett McQuinn, Yutaka Y. Nakamura, Ivan Vo, Chen Guok, Don Nguyen, Scott Lekuch, Sameh W. Asaad, Daniel J. Friedman, Bryan L. Jackson, Myron Flickner, William P. Risk, Rajit Manohar, Dharmendra S. Modha
2013 B conf
Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores.
IJCNN
Steven K. Esser, Alexander Andreopoulos, Rathinakumar Appuswamy, Pallab Datta, Davis Barch, Arnon Amir, John V. Arthur, Andrew Cassidy, Myron Flickner, Paul Merolla, Shyamal Chandra, Nicola Basilico, Stefano Carpin, Tom Zimmerman, Frank Zee, Rodrigo Alvarez-Icaza, Jeffrey A. Kusnitz, Theodore M. Wong, William P. Risk, Emmett McQuinn, Tapan K. Nayak, Raghavendra Singh, Dharmendra S. Modha
2013 J jnl
Linear Codes, Target Function Classes, and Network Computing Capacity.
IEEE Trans. Inf. Theory
Rathinakumar Appuswamy, Massimo Franceschetti, Nikhil Karamchandani, Kenneth Zeger
2011 J jnl
Computing linear functions by linear coding over networks
CoRR
Rathinakumar Appuswamy, Massimo Franceschetti
2011 B conf
Linear coding for network computing.
ISIT
Rathinakumar Appuswamy, Massimo Franceschetti, Nikhil Karamchandani, Kenneth Zeger
2011 J jnl
Network Coding for Computing: Cut-Set Bounds.
IEEE Trans. Inf. Theory
Rathinakumar Appuswamy, Massimo Franceschetti, Nikhil Karamchandani, Kenneth Zeger
2011 J jnl
Network coding for computing: Linear codes
CoRR
Rathinakumar Appuswamy, Massimo Franceschetti, Nikhil Karamchandani, Kenneth Zeger
2011 — —
Network coding for function computation.
Rathinakumar Appuswamy
2011 J jnl
Time and Energy Complexity of Function Computation Over Networks.
IEEE Trans. Inf. Theory
Nikhil Karamchandani, Rathinakumar Appuswamy, Massimo Franceschetti
2010 — conf
Computing linear functions with linear network codes.
Allerton
Rathinakumar Appuswamy, Massimo Franceschetti
2009 B conf
Distributed computation of symmetric functions with binary inputs.
ITW
Nikhil Karamchandani, Rathinakumar Appuswamy, Massimo Franceschetti
2009 J jnl
Network Coding for Computing Part I : Cut-Set Bounds
CoRR
Rathinakumar Appuswamy, Massimo Franceschetti, Nikhil Karamchandani, Kenneth Zeger
2009 B conf
Network computing capacity for the reverse butterfly network.
ISIT
Rathinakumar Appuswamy, Massimo Franceschetti, Nikhil Karamchandani, Kenneth Zeger
2008 J jnl
Complete Mutually Orthogonal Golay Complementary Sets From Reed-Muller Codes.
IEEE Trans. Inf. Theory
Rathinakumar Appuswamy, Ajit Kumar Chaturvedi
2008 — conf
Network coding for computing.
Allerton
Rathinakumar Appuswamy, Massimo Franceschetti, Nikhil Karamchandani, Kenneth Zeger
2006 J jnl
A New Framework for Constructing Mutually Orthogonal Complementary Sets and ZCZ Sequences.
IEEE Trans. Inf. Theory
Rathinakumar Appuswamy, Ajit Kumar Chaturvedi
2006 B conf
Optimality of Linear Codes for Broadcast-Mode Multicast Networks.
ISIT
Rathinakumar Appuswamy, Massimo Franceschetti, Kenneth Zeger
2006 J jnl
QoS guarantee and provisioning for realtime digital video over mobile ad hoc cdma networks with cross-layer design.
IEEE Wirel. Commun.
Qi Qu, Rathinakumar Appuswamy, Yee Sin Chan
2000 — conf
Implementation Issues In ERP.
ICSTM
Rathinakumar Appuswamy