Resistive Memory Process Optimization for High Resistance Switching Toward Scalable Analog Compute Technology for Deep Learning
- Youngseok Kim
- Soon-Cheon Seo
- et al.
- 2021
- IEEE Electron Device Letters
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22 results for Malte J. Rasch
A Flexible and Fast PyTorch Toolkit for Simulating Training and Inference on Analog Crossbar Arrays
- Malte J. Rasch
- Diego Moreda
- et al.
- 2021
- AICAS 2021
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited)
- Shubham Jain
- Ching-Tzu Chen
- et al.
- 2023
- ISCAS 2023
Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited)
- Martin M. Frank
- Ning Li
- et al.
- 2023
- IRPS 2023
Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers
- Atsuya Okazaki
- Pritish Narayanan
- et al.
- 2022
- ISCAS 2022
Synchronized Analog Capacitor Arrays for Parallel Convolutional Neural Network Training
- Effendi Leobandung
- Malte J. Rasch
- et al.
- 2020
- MWSCAS 2020
Analog Resistive Switching Devices for Training Deep Neural Networks with the Novel Tiki-Taka Algorithm
- Tommaso Stecconi
- Valeria Bragaglia
- et al.
- 2024
- Nano Letters
Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices
- Katherine Spoon
- Hsinyu Tsai
- et al.
- 2021
- Frontiers in Computational Neuroscience
Training large-scale artificial neural networks on simulated resistive crossbar arrays
- Malte J. Rasch
- Tayfun Gokmen
- et al.
- 2020
- IEEE Design and Test
Neural network accelerator design with resistive crossbars: Opportunities and challenges
- Shubham Jain
- Aayush Ankit
- et al.
- 2019
- IBM J. Res. Dev