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
Conference paper
Publications
25 results for Malte J. Rasch
Deep learning acceleration in 14nm CMOS compatible ReRAM array: device, material and algorithm co-optimization
- N. Gong
- Malte J. Rasch
- et al.
- 2022
- IEDM 2022
Conference paperOptimised weight programming for analogue memory-based deep neural networks
- Charles Mackin
- Malte J. Rasch
- et al.
- 2022
- Nature Communications
PaperAnalog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers
- Atsuya Okazaki
- Pritish Narayanan
- et al.
- 2022
- ISCAS 2022
Conference paperToward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices
- Katherine Spoon
- Hsinyu Tsai
- et al.
- 2021
- Frontiers in Computational Neuroscience
PaperA Flexible and Fast PyTorch Toolkit for Simulating Training and Inference on Analog Crossbar Arrays
- Malte J. Rasch
- Diego Moreda
- et al.
- 2021
- AICAS 2021
Conference paperResistive 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
PaperPrecision of synaptic weights programmed in phase-change memory devices for deep learning inference
- S. R. Nandakumar
- Irem Boybat
- et al.
- 2020
- IEDM 2020
Conference paperSynchronized Analog Capacitor Arrays for Parallel Convolutional Neural Network Training
- Effendi Leobandung
- Malte J. Rasch
- et al.
- 2020
- MWSCAS 2020
Conference paperTraining large-scale artificial neural networks on simulated resistive crossbar arrays
- Malte J. Rasch
- Tayfun Gokmen
- et al.
- 2020
- IEEE Design and Test
Paper