In the past years, the “memory wall problem” has questioned the feasibility of the traditional von Neumann architecture for new electronic systems. Due to several technological concerns, a performance bottleneck is found in the memory sub-system. As regards power consumption, energy is wasted in the processor-memory data traffic. The scientific literature is rich in examples of beyond von Neumann alternatives. For instance, in Logic-in-Memory (LiM) arrays, memory cells are endowed with computational capabilities, creating a naturally-parallel processing element. Thus, such structures may support SIMD operations and may successfully accelerate a large variety of algorithms. At the VLSI laboratory of the Politecnico di Torino, researchers have been studying LiM solutions, proving their effectiveness in mitigating the memory wall problem.