Wed 15 Jun 2016 15:30 - 16:00 at Grand Ballroom Santa Ynez - New Languages Chair(s): Michael Carbin

Programmable analog devices have emerged as a powerful computing substrate for performing complex neuromorphic and cytomorphic computations. We present Arco, a new solver that, given a biological system specification, generates physically realizable configurations for analog devices that are algebraically equivalent to the provided system. On a set of representative benchmarks from the computational biology domain, Arco generates configurations comprised of 35 to 534 connections and 28 to 326 components in 1 to 54 minutes.