The vast majority of state-of-the-art computing platforms are based on the von-Neumann Architecture, which consists of two different spatial dwellings for handled data: the main computing unit (i.e., the CPU) and the data storage unit (i.e., the memory). This approach allowed for continuous performance improvements in the last decades but began to reach a dead-end as soon as datacentric applications started to become pervasive, like the ones involved, for instance, in artificial intelligence, cryptography and signal processing, due to the well known communication cost and von-Neumann bottleneck. This problem led to questioning whether this approach could still be pursued, hence the concept of In-Memory Computing (IMC) began to attract interest.