Reliable memristor-based neuromorphic design using variation-and defect-aware training

D Gaol, GL Zhang, X Yin, B Li… - 2021 IEEE/ACM …, 2021 - ieeexplore.ieee.org
The memristor crossbar provides a unique opportunity to develop a neuromorphic
computing system (NCS) with high scalability and energy efficiency. However, the reliability …

[PDF][PDF] Machine Learning for Resource-Constrained Computing Systems

M Rapp - 2022 - scholar.archive.org
Computing systems such as processors are generally constrained in their resources like
power consumption, energy consumption, heat dissipation, and chip area. This makes …