Abstract: We propose a co-design approach for compute-in-memory inference for deep neural networks (DNN). We use multiplication-free function approximators based on l 1 norm along with a co-adapted ...
Gardening can feel like a delicate dance of watering, weeding, fertilizing, and praying for the sun to shine just right. But ...
Abstract: Memristor-based in-memory computing has emerged as a promising solution for overcoming the computational bottleneck associated with traditional von Neumann architectures. Despite its ...