一句话：提出 Jaunt 求解器，通过缩放模拟器件配置值，使计算满足工作范围并保留可观测动力学。
可编程模拟器件适合高效仿真神经形态与细胞形态等动力系统，但现有配置方法未考虑模拟器件的电流/电压工作范围以及数字接口的采样限制，可能导致仿真错误或无法观测动力学。本文提出 Jaunt 求解器，对配置模拟器件的值进行缩放，使模拟计算落在器件工作约束内，同时保留原仿真中可恢复的动力学，并让计算足够缓慢以便通过采样数字输出观测这些动力学。作者在一组生物仿真基准上评估，结果表明：未缩放的配置会违反器件工作范围并产生错误仿真；Jaunt 生成的缩放配置能够遵守工作范围，产生正确且动力学可观测的仿真。
Programmable analog devices are a powerful new computing substrate that are especially appropriate for performing computationally intensive simulations of neuromorphic and cytomorphic models. Current state of the art techniques for configuring analog devices to simulate dynamical systems do not consider the current and voltage operating ranges of analog device components or the sampling limitations of the digital interface of the device. We present Jaunt, a new solver that scales the values that configure the analog device to ensure the resulting analog computation executes within the operating constraints of the device, preserves the recoverable dynamics of the original simulation, and executes slowly enough to observe these dynamics at the sampled digital outputs. Our results show that, on a set of benchmark biological simulations, 1) unscaled configurations produce incorrect simulations because they violate the operating ranges of the device and 2) Jaunt delivers scaled configurations that respect the operating ranges to produce correct simulations with observable dynamics.