Extending and Validating High Level Synthesis Tools for Analog Computing on Field Programmable Analog Arrays

Despite the mainstream use of digital computing, analog computing has recently become more relevant due to its significantly greater power efficiency and lower area requirements. However, a lack of synthesis tools and limited programmability leads to an insufficient number of standardized design frameworks for analog systems [1]. This project further develops such a framework by enhancing and validating the tool chain for development on the Field Programmable Analog Array (FPAA). The FPAA is a reconfigurable mixed signal design integrated chip (IC) that utilizes floating gate (FG) technology to create any analog or mixed signal circuit through a Python-based tool chain [2]. The improvements made to the tool chain enable a more streamlined programming flow. Subsequently, a speech feature generator application on the FPAA is developed using this improved tool chain, consisting of a band-pass filter, an envelope detection circuit, and a ladder filter, demonstrating the functionality of the FPAA tool chain and the FPAA’s application for novel analog computing tasks.

Institutions

Publication Details

Published
2025-04-01
DOI
https://doi.org/10.1109/orss66051.2025.11121627
Primary Topic
Research, Science, and Academia
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Extending and Validating High Level Synthesis Tools for Analog Computing on Field Programmable Analog Arrays

Research, Science, and Academia
article

Extending and Validating High Level Synthesis Tools for Analog Computing on Field Programmable Analog Arrays

article en

Abstract

Despite the mainstream use of digital computing, analog computing has recently become more relevant due to its significantly greater power efficiency and lower area requirements. However, a lack of synthesis tools and limited programmability leads to an insufficient number of standardized design frameworks for analog systems [1]. This project further develops such a framework by enhancing and validating the tool chain for development on the Field Programmable Analog Array (FPAA). The FPAA is a reconfigurable mixed signal design integrated chip (IC) that utilizes floating gate (FG) technology to create any analog or mixed signal circuit through a Python-based tool chain [2]. The improvements made to the tool chain enable a more streamlined programming flow. Subsequently, a speech feature generator application on the FPAA is developed using this improved tool chain, consisting of a band-pass filter, an envelope detection circuit, and a ladder filter, demonstrating the functionality of the FPAA tool chain and the FPAA’s application for novel analog computing tasks.

Georgia Institute of Technology (US)
Openalex Percentile: Top 30%
Research, Science, and Academia
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Extending and Validating High Level Synthesis Tools for Analog Computing on Field Programmable Analog Arrays · (2025) | TGRS Research Map | TGRS