# Build
docker build -t brian2-benchmark .

# Run
docker run -t --rm brian2-benchmark

# To debug
docker run -it --rm brian2-benchmark /bin/bash

# Get results on first machine
docker run -t --rm brian2-benchmark > results/cpu1.txt
# Get results on second machine
docker run -t --rm brian2-benchmark > results/cpu2.txt
# ...
# Format results in Markdown
ruby format_results.rb results/*

Brian-2 benchmarks are taken from the ModelDB record #222725 and associated with the paper Software for Brain Network Simulations: A Comparative Study

1. MacBook Pro 14" M1 Max 10CPU 32GPU (2021, 64GB RAM)

• M1 Max
  • 10 cores (8 performance, 2 efficient)
  • CPU TDP ~30W
• VM, Docker for Mac 4.12.0, configured to 10 Cores, 16GB RAM, virtualization.framework
• macOS Monterey 12.5.1

2. MacBook Air M2 8CPU 10GPU (2022, 24GB RAM)

• M2
  • 8 cores (4 performance, 4 efficient)
  • CPU TDP ~15W, passive cooling
• VM, Docker for Mac 4.12.0, configured to 8 Cores, 8GB RAM, virtualization.framework
• macOS Monterey 12.5.1

3. FrameWork i7-1165G7 (2021, 64GB RAM)

• 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz
  • 4 cores / 8 threads
  • CPU TDP Turbo 60W
• Docker version 20.10.14, build a224086
• Pop!_OS 22.04 LTS

1. 5000 Leaky Integrate-and-File neurons in a sparsely connected network.
2. 500 Hodgkin-Huxly neurons with double-exponential synapses and random connections

Test #1, 10 times: simple_large.py

Test #2, 10 times: complicated_small.py

Test #1, 10 times : simple_large_omp.py

Test #2, 10 times: complicated_small_omp.py