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03/08/2023
Fast offset corrected in-memory training
In-memory computing with resistive crossbar arrays has been suggested to...
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01/31/2022
Neural Network Training with Asymmetric Crosspoint Elements
Analog crossbar arrays comprising programmable nonvolatile resistors are...
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04/05/2021
A flexible and fast PyTorch toolkit for simulating training and inference on analog crossbar arrays
We introduce the IBM Analog Hardware Acceleration Kit, a new and first o...
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09/17/2019
Algorithm for Training Neural Networks on Resistive Device Arrays
Hardware architectures composed of resistive cross-point device arrays c...
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07/24/2019
Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays
A resistive memory device-based computing architecture is one of the pro...
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06/06/2019
Training large-scale ANNs on simulated resistive crossbar arrays
Accelerating training of artificial neural networks (ANN) with analog re...
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07/03/2018
Efficient ConvNets for Analog Arrays
Analog arrays are a promising upcoming hardware technology with the pote...
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06/01/2018
Training LSTM Networks with Resistive Cross-Point Devices
In our previous work we have shown that resistive cross point devices, s...
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05/22/2017
Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices
In a previous work we have detailed the requirements to obtain a maximal...
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03/23/2016