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07/18/2023
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
Analog In-Memory Computing (AIMC) is a promising approach to reduce the ...
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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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02/16/2023
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
Analog in-memory computing (AIMC) – a promising approach for energy-effi...
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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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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