MICSim: A Modular Simulator for Mixed-signal Compute-in-Memory based AI Accelerator
Cong Wang, Z. M. Chen, Shanshi Huang
Abstract
This work introduces MICSim, an open-source, pre-circuit simulator designed for early-stage evaluation of chip-level software performance and hardware overhead of mixed-signal compute-in-memory (CIM) accelerators. MICSim features a modular design, allowing easy multi-level co-design and design space exploration. Modularized from the state-of-the-art CIM simulator NeuroSim, MICSim provides a highly configurable simulation framework supporting multiple quantization algorithms, diverse circuit/architecture designs, and different memory devices. This modular approach also allows MICSim to be effectively extended to accommodate new designs.
Topics & Concepts
Modular designComputer scienceSimulationSIGNAL (programming language)Computer architecture simulatorComputer architectureEmbedded systemParallel computingComputer hardwareOperating systemProgramming languageAdvanced Memory and Neural ComputingCCD and CMOS Imaging SensorsFerroelectric and Negative Capacitance Devices