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Rathinakumar Appuswamy
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2020 – today
- 2024
- [c15]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:
11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip. ISSCC 2024: 214-215 - 2023
- [c14]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:
IBM NorthPole Neural Inference Machine. HCS 2023: 1-58 - [i9]Deepika Bablani, Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Dharmendra S. Modha:
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference. CoRR abs/2301.13330 (2023) - 2020
- [c13]Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha:
Learned Step Size quantization. ICLR 2020
2010 – 2019
- 2019
- [j10]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:
TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years. Computer 52(5): 20-29 (2019) - [c12]Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Deepika Bablani, John V. Arthur, Izzet B. Yildiz, Dharmendra S. Modha:
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Inference. EMC2@NeurIPS 2019: 6-9 - [i8]Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha:
Learned Step Size Quantization. CoRR abs/1902.08153 (2019) - 2018
- [i7]Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Deepika Bablani, John V. Arthur, Izzet B. Yildiz, Dharmendra S. Modha:
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference. CoRR abs/1809.04191 (2018) - 2016
- [j9]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:
Convolutional networks for fast, energy-efficient neuromorphic computing. Proc. Natl. Acad. Sci. USA 113(41): 11441-11446 (2016) - [c11]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:
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications. SC 2016: 130-141 - [i6]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:
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing. CoRR abs/1603.08270 (2016) - [i5]Paul Merolla, Rathinakumar Appuswamy, John V. Arthur, Steven K. Esser, Dharmendra S. Modha:
Deep neural networks are robust to weight binarization and other non-linear distortions. CoRR abs/1606.01981 (2016) - [i4]Rathinakumar Appuswamy, Tapan K. Nayak, John V. Arthur, Steven K. Esser, Paul Merolla, Jeffrey L. McKinstry, Timothy Melano, Myron Flickner, Dharmendra S. Modha:
Structured Convolution Matrices for Energy-efficient Deep learning. CoRR abs/1606.02407 (2016) - 2015
- [j8]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:
Visual saliency on networks of neurosynaptic cores. IBM J. Res. Dev. 59(2/3) (2015) - [c10]Steven K. Esser, Rathinakumar Appuswamy, Paul Merolla, John V. Arthur, Dharmendra S. Modha:
Backpropagation for Energy-Efficient Neuromorphic Computing. NIPS 2015: 1117-1125 - 2014
- [j7]Rathinakumar Appuswamy, Massimo Franceschetti:
Computing Linear Functions by Linear Coding Over Networks. IEEE Trans. Inf. Theory 60(1): 422-431 (2014) - [c9]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:
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 2014: 27-38 - 2013
- [j6]Rathinakumar Appuswamy, Massimo Franceschetti, Nikhil Karamchandani, Kenneth Zeger:
Linear Codes, Target Function Classes, and Network Computing Capacity. IEEE Trans. Inf. Theory 59(9): 5741-5753 (2013) - [c8]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:
Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores. IJCNN 2013: 1-10 - 2011
- [b1]Rathinakumar Appuswamy:
Network coding for function computation. University of California, San Diego, USA, 2011 - [j5]Rathinakumar Appuswamy, Massimo Franceschetti, Nikhil Karamchandani, Kenneth Zeger:
Network Coding for Computing: Cut-Set Bounds. IEEE Trans. Inf. Theory 57(2): 1015-1030 (2011) - [j4]Nikhil Karamchandani, Rathinakumar Appuswamy, Massimo Franceschetti:
Time and Energy Complexity of Function Computation Over Networks. IEEE Trans. Inf. Theory 57(12): 7671-7684 (2011) - [c7]Rathinakumar Appuswamy, Massimo Franceschetti, Nikhil Karamchandani, Kenneth Zeger:
Linear coding for network computing. ISIT 2011: 2652-2655 - [i3]Rathinakumar Appuswamy, Massimo Franceschetti, Nikhil Karamchandani, Kenneth Zeger:
Network coding for computing: Linear codes. CoRR abs/1101.0085 (2011) - [i2]Rathinakumar Appuswamy, Massimo Franceschetti:
Computing linear functions by linear coding over networks. CoRR abs/1102.4825 (2011) - 2010
- [c6]Rathinakumar Appuswamy, Massimo Franceschetti:
Computing linear functions with linear network codes. Allerton 2010: 29-35
2000 – 2009
- 2009
- [c5]Rathinakumar Appuswamy, Massimo Franceschetti, Nikhil Karamchandani, Kenneth Zeger:
Network computing capacity for the reverse butterfly network. ISIT 2009: 259-262 - [c4]Nikhil Karamchandani, Rathinakumar Appuswamy, Massimo Franceschetti:
Distributed computation of symmetric functions with binary inputs. ITW 2009: 76-80 - [i1]Rathinakumar Appuswamy, Massimo Franceschetti, Nikhil Karamchandani, Kenneth Zeger:
Network Coding for Computing Part I : Cut-Set Bounds. CoRR abs/0912.2820 (2009) - 2008
- [j3]Rathinakumar Appuswamy, Ajit Kumar Chaturvedi:
Complete Mutually Orthogonal Golay Complementary Sets From Reed-Muller Codes. IEEE Trans. Inf. Theory 54(3): 1339-1346 (2008) - [c3]Rathinakumar Appuswamy, Massimo Franceschetti, Nikhil Karamchandani, Kenneth Zeger:
Network coding for computing. Allerton 2008: 1-6 - 2006
- [j2]Rathinakumar Appuswamy, Ajit Kumar Chaturvedi:
A New Framework for Constructing Mutually Orthogonal Complementary Sets and ZCZ Sequences. IEEE Trans. Inf. Theory 52(8): 3817-3826 (2006) - [j1]Qi Qu, Rathinakumar Appuswamy, Yee Sin Chan:
QoS guarantee and provisioning for realtime digital video over mobile ad hoc cdma networks with cross-layer design. IEEE Wirel. Commun. 13(5): 82-88 (2006) - [c2]Rathinakumar Appuswamy, Massimo Franceschetti, Kenneth Zeger:
Optimality of Linear Codes for Broadcast-Mode Multicast Networks. ISIT 2006: 50-53 - 2000
- [c1]Rathinakumar Appuswamy:
Implementation Issues In ERP. ICSTM 2000
Coauthor Index
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