Synapses, Circuits, and Architectures for Analog In-Memory Computing-Based Deep Neural Network Inference Hardware Acceleration
- 2023
- IEDM 2023
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This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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46 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
Equivalent-accuracy accelerated neural-network training using analogue memory
- Stefano Ambrogio
- Pritish Narayanan
- et al.
- 2018
- Nature
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing
- 2024
- ISCAS 2024
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited)
- Shubham Jain
- Ching-Tzu Chen
- 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
Accurate weight mapping in a multi-memristive synaptic unit
- Michele Martemucci
- Benedikt Kersting
- et al.
- 2021
- ISCAS 2021
Architecting more than Moore: Wireless plasticity for massive heterogeneous computer architectures (WiPLASH)
- Joshua Klein
- Alexandre Levisse
- et al.
- 2021
- CF 2021