AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing
- Hadjer Benmeziane
- Corey Lammie
- et al.
- 2023
- EDGE 2023
Publications
52 results for Irem Boybat
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
In-memory computing for accelerating deep neural networks and neuro-vector-symbolic architectures
- 2023
- AICAS 2023
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited)
- Shubham Jain
- Ching-Tzu Chen
- et al.
- 2023
- ISCAS 2023
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks
- Sidney Tsai
- Pritish Narayanan
- et al.
- 2023
- ISCAS 2023
End-to-End DNN Inference on a Massively Parallel Analog in Memory Computing Architecture
- Nazareno Bruschi
- Giuseppe Tagliavini
- et al.
- 2023
- DATE 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
A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh
- Shubham Jain
- Hsinyu Tsai
- et al.
- 2023
- IEEE Transactions on VLSI Systems
In-memory computing accelerator architectures for throughput-critical and resource-constrained systems
- 2022
- MEMRISYS 2022