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Configuration synthesis for programmable analog devices with Arco

Authors :
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Achour, Sara
Sarpeshkar, Rahul
Rinard, Martin C
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Achour, Sara
Sarpeshkar, Rahul
Rinard, Martin C
Source :
Other repository
Publication Year :
2018

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.

Details

Database :
OAIster
Journal :
Other repository
Notes :
application/pdf, en_US
Publication Type :
Electronic Resource
Accession number :
edsoai.on1025310067
Document Type :
Electronic Resource