CIMinus paper is accepted by TC 2025!

👏 Paper title: CIMinus: Empowering Sparse DNN Workloads Modeling and Exploration on SRAM-based CIM Architectures. In this paper, we propose CIMinus, a cost modeling framework that enables efficient design space exploration for sparse DNN workloads on SRAM-based compute-in-memory (CIM) architectures. We introduce FlexBlock, an expressive sparsity abstraction that captures diverse structured sparsity patterns under CIM hardware constraints. CIMinus provides an integrated workflow from model pruning to system-level evaluation, accurately estimating speedups and energy savings within a 5.27% error margin compared to recent CIM designs. [related project]