Memristive Logic-in-Memory Implementations: A Comparison

The technology evolution addresses the demand for faster computers. Despite the achieved speed-up in terms of memory and computation performances, the communication between the memories and the processor remains a bottleneck of today’s computers. The Computation in Memory (CiM) paradigm aims at solving this problem by moving the computation directly inside the memory, eliminating thus the need for data transfer between memory and processor. Among the available CiM implementations, this study focuses on the Logic-in-Memory (LiM) solutions, i.e., digital operations to accelerate Boolean Logic. This work provides a comparison among the most prominent LiM solutions in terms of required memory resources (i.e., number of memristors) and number of operations.