Time Dilation and Contraction for Programmable Analog Devices with Jaunt
Name
asplos18_jaunt.pdf
Description
Accepted version
Size
4.08 MB
Format
Adobe PDF
Checksum (MD5)
b55d4dc71bc50da283dfbac3f0dbcbe7
Author(s)
Achour, Sara
Rinard, Martin
Date Issued
March 19, 2018
Publisher
ACM
Citation
Achour, Sara and Rinard, Martin. 2018. "Time Dilation and Contraction for Programmable Analog Devices with Jaunt."
Version
Author's final manuscript
Abstract
© 2018 Copyright held by the owner/author(s). Programmable analog devices are a powerful new computing substrate that are especially appropriate for performing computationally intensive simulations of neuromorphic and cytomorphic models. Current state of the art techniques for configuring analog devices to simulate dynamical systems do not consider the current and voltage operating ranges of analog device components or the sampling limitations of the digital interface of the device. We present Jaunt, a new solver that scales the values that configure the analog device to ensure the resulting analog computation executes within the operating constraints of the device, preserves the recoverable dynamics of the original simulation, and executes slowly enough to observe these dynamics at the sampled digital outputs. Our results show that, on a set of benchmark biological simulations, 1) unscaled configurations produce incorrect simulations because they violate the operating ranges of the device and 2) Jaunt delivers scaled configurations that respect the operating ranges to produce correct simulations with observable dynamics.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3173162.3173179
