Efficient Integration of Digital Processing-in-Memory from Microarchitecture to High-Level Python Tensors

This paper proposes an end-to-end architectural integration of digital memristive processing-in-memory (PIM) from a high-level Python library for tensor operations to the low-level microarchitectural design, enabling the development and debugging of PIM applications with ease.