Configuration synthesis for programmable analog devices with Arco
Author(s)Achour, Sara; Sarpeshkar, Rahul; Rinard, Martin C
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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.
DepartmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Proceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation - PLDI 2016
Association for Computing Machinery
Achour, Sara, Rahul Sarpeshkar, and Martin C. Rinard . "Configuration Synthesis for Programmable Analog Devices with Arco." 13-17 June, 2016, Santa Barbara, ACM Press, 2016, pp. 177–93.
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