Solving ordinary differential equations (ODE) on the von Neumann architecture normally demands a large amount of computational resources. Yu et al. build ODE solver hardware using a computing-in-memory-based implementation, showing orders of magnitude improvement in energy consumption and speedup.
- Lianfeng Yu
- Teng Zhang
- Yuchao Yang
