Configuration Synthesis For Programmable Analog Devices With Arco

ACM SIGPLAN Notices(2016)

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摘要
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 dynamical system specification in the form of a set of differential equations, generates physically realizable configurations for programmable analog devices that are algebraically equivalent to the specified system. On a set of benchmarks from the biological domain, Arco generates configurations with 35 to 534 connections and 28 to 326 components in 1 to 54 minutes.
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关键词
Compilers,Analog Computing,Languages
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