11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip
- 2024
- ISSCC 2024
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14 results for Rathinakumar Appuswamy
LEARNED STEP SIZE QUANTIZATION
- Steven K. Esser
- Jeffrey L. McKinstry
- et al.
- 2020
- ICLR 2020
TrueNorth Ecosystem for Brain-Inspired Computing: Scalable Systems, Software, and Applications
- Jun Sawada
- Filipp Akopyan
- et al.
- 2016
- SC 2016
Backpropagation for energy-efficient neuromorphic computing
- Steven K. Esser
- Rathinakumar Appuswamy
- et al.
- 2015
- NeurIPS 2015
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
- Andrew S. Cassidy
- Rodrigo Alvarez-Icaza
- et al.
- 2014
- SC 2014
Neural inference at the frontier of energy, space, and time
- 2023
- Science
Convolutional networks for fast, energy-efficient neuromorphic computing
- Steven K. Esser
- Paul Merolla
- et al.
- 2016
- PNAS
A million spiking-neuron integrated circuit with a scalable communication network and interface
- Paul A. Merolla
- John V. Arthur
- et al.
- 2014
- Science
Computing linear functions by linear coding over networks
- Rathinakumar Appuswamy
- Massimo Franceschetti
- 2014
- IEEE Trans. Inf. Theory
Linear codes, target function classes, and network computing capacity
- Rathinakumar Appuswamy
- Massimo Franceschetti
- et al.
- 2013
- IEEE Trans. Inf. Theory