SANA-FE Co-Simulation Artifact

IEEE Computer 2026 — "Bridging the Gap in Neuromorphic Co-Design with the SANA-FE Co-Simulation Framework"

Copyright (c) 2026 — The University of Texas at Austin. Produced under contract #2317831 to National Technology and Engineering Solutions of Sandia, LLC (contract No. DE-NA0003525 with the U.S. Department of Energy).

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Overview

This artifact reproduces all four case studies from the paper using the SANA-FE architectural simulator and LASANA circuit surrogate models.

#	Study	Script
1	Loihi concurrency	synapse.py
2	Loihi-Indiveri (analog neurons)	indiveri.py
3	Loihi-IMAC (analog synaptic crossbars)	crossbar.py
4	Loihi-Indiveri-IMAC (fully analog pipeline)	combined.py

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Quickstart

This artifact is available for download on GitHub. To install locally, run:

git clone https://github.com/SLAM-Lab/computer26-artifact.git computer26 && cd computer26
git submodule update --init --recursive

With Docker (recommended)

docker build -t computer26 .
docker run --rm -v $(pwd)/results:/code/results computer26

Without Docker

Requires: cmake, g++, python3, and the packages listed in the Dockerfile.

bash build_and_run.sh

Results are written to results/.

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Repository Layout

.
├── build_and_run.sh          # top-level build and run script
├── Dockerfile
├── data/                     # pre-trained models and binary assets (read-only)
├── results/                     # experiment outputs, generated at runtime
├── sana-fe/                  # architectural simulator (subrepository)
└── lasana-plugins/           # LASANA plug-ins (subrepository)

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Configuration

build_and_run.sh respects two environment variables:

Variable	Default	Description
QUICK	true	Reduced run for faster results; set to false for full fidelity
JOBS	nproc	Parallel make jobs

QUICK=false docker run --rm -v $(pwd)/results:/code/results computer26

Note that a full run may take a long time (>10 hours) to complete, even on a good machine.

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Dependencies

Tool	Purpose
SANA-FE	Neuromorphic architectural simulator
LASANA-Plugins	Hardware surrogate plug-ins
LASANA	Circuit surrogate modeling framework