Configuration synthesis for programmable analog devices with Arco
Name
Rinard_Configuration synthesis.pdf
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265.06 KB
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Adobe PDF
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Author(s)
Achour, Sara
Sarpeshkar, Rahul
Rinard, Martin C
Date Issued
June 2016
Journal
Proceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation - PLDI 2016
Publisher
Association for Computing Machinery
Citation
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.
Version
Author's final manuscript
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2908080.2908116
