MIREDO paper is accepted by ASP-DAC 2026!

👏 Paper title: MIREDO: MIP-Driven Resource-Efficient Dataflow Optimization for Computing-in-Memory Accelerator. We propose MIREDO, a framework that formulates dataflow optimization for Computing-in-Memory (CIM) accelerators as a Mixed-Integer Programming problem. By jointly modeling workload characteristics, dataflow strategies, and CIM-specific constraints with an analytical latency model, MIREDO navigates the vast design space to find optimal configurations, achieving up to 3.2× performance improvement across various DNN models. [related project]