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With the increased attention to memristive-based in-memory analog computing(IMAC) architectures as an alternative for energy-hungry computer systems fordata-intensive applications, a tool that enables exploring their device- andcircuit-level design space can significantly boost the research and developmentin this area. Thus, in this paper, we develop IMAC-Sim, a circuit-levelsimulator for the design space exploration and multi-objective optimization ofIMAC architectures. IMAC-Sim is a Python-based simulation framework, whichcreates the SPICE netlist of the IMAC circuit based on various device- andcircuit-level hyperparameters selected by the user, and automatically evaluatesthe accuracy, power consumption and latency of the developed circuit using auser-specified dataset. IMAC-Sim simulates the interconnect parasiticresistance and capacitance in the IMAC architectures, and is also equipped withhorizontal and vertical partitioning techniques to surmount these reliabilitychallenges. In this abstract, we perform controlled experiments to exhibit someof the important capabilities of the IMAC-Sim.

A Python Framework for SPICE Circuit Simulation of In-Memory Analog Computing Circuits