Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
Article in Nature Communications (August 2023)
The most recent citing publications are shown below. View all 8 publications that cite this research output on Dimensions.
Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques
Article in ACM Computing Surveys (July 2023)
Compute in‐Memory with Non‐Volatile Elements for Neural Networks: A Review from a Co‐Design Perspective
Article in Advanced Materials (March 2023)