Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
- Malte J. Rasch
- Charles Mackin
- et al.
- 2023
- Nature Communications
Publications
246 results for Abu Sebastian
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference
- Manuel Le Gallo
- Riduan Khaddam-Aljameh
- et al.
- 2023
- Nature Electronics
Solving Raven's Progressive Matrices via a Neuro-vector-symbolic Architecture
- Michael Hersche
- Mustafa Zeqiri
- et al.
- 2023
- NeSy 2023
Decoding Superpositions of Bound Symbols Represented by Distributed Representations
- Michael Hersche
- Zuzanna Opala
- et al.
- 2023
- NeSy 2023
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing
- Hadjer Benmeziane
- Corey Lammie
- et al.
- 2023
- EDGE 2023
ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning
- Joshua Klein
- Irem Boybat
- et al.
- 2023
- IEEE TC
Recent Advances and Future Prospects for Memristive Materials, Devices, and Systems
- Min-Kyu Song
- Ji-Hoon Kang
- et al.
- 2023
- ACS Nano
Optimization of Projected Phase Change Memory for Analog In-Memory Computing Inference
- Ning Li
- Charles Mackin
- et al.
- 2023
- Advanced Materials
An Analytical Approach to Understanding Mushroom-Type Phase Change Memories
- Stephan Menzel
- Benedikt Kersting
- et al.
- 2023
- MRS Spring Meeting 2023
Mitigating Analog Memory Non-Idealities for In-Memory Inference and Learning of DNN
- 2023
- MRS Spring Meeting 2023