The rise of large language models (LLMs) has expanded the possibilities for generative tasks. While LLMs excel at tasks like information retrieval and question-answering, conventional code generation ...

Deep learning (DL) model training must address the memory bottleneck to continue scaling. Processing-in-memory approaches can be a viable solution as they move computations near or into the memory, ...