Emerging non-volatile memories are widely studied today as means to maximize energy efficiency and because they enable the so-called Computation-In-Memory. The Logic-in-Memory (LIM) paradigm is a subset of the Computation-in-Memory and it focuses on the execution of Boolean operations inside the memory. Among the most popular solutions, MAGIC and FELIX promise non-input destructive operations, as classical computation paradigms, allowing therefore to re-use the set of input data for several operations. In this paper we have analyzed the electrical behavior of some significant LIM implementations (MAGIC NOR and FELIX NAND) under various operation conditions. Our results show that it is not trivial to guarantee noninput destructive operations (in the case of FELIX NAND) and there is a real difficulty in concatenating several operations due to non-ideal intermediate results.

The need to achieve statistically relevant results in electrical simulations requires a large number of iterations under different operating conditions. Moreover, the nature of parametric simulations makes the collection and filtering of the results non-trivial. To tackle these issues, scripts are normally used to control all the parameters. Still, this approach is usually ad-hoc and platform dependent, making the whole procedure hardly reusable, scalable and versatile. We propose a generic, opensource framework to generate complex stimuli and parameters for electrical simulations, together with a programmable Spiceand Verilog-A-based module capable of observing and logging internal states of the circuit to facilitate further result analysis.