Zhaoxian Wu

Analog in-memory computing training converges despite pipeline parallelism challenges

Researchers have developed a theoretical framework for training deep neural networks using analog in-memory computing (AIMC) with asynchronous pipeline parallelism. This approach aims to accelerate training and reduce e…