CIMinus paper is accepted by TC 2025!

👏 Paper title: CIMinus: Empowering Sparse DNN Workloads Modeling and Exploration on SRAM-based CIM Architectures. We propose CIMinus, a cost modeling framework for efficient design space exploration of sparse DNN workloads on SRAM-based compute-in-memory architectures. It introduces FlexBlock, an expressive sparsity abstraction, and provides an integrated workflow from model pruning to system-level evaluation, accurately estimating speedups and energy savings within 5.27% error. [related project]