This is the first release of beNNch-plot, providing plotting styles for performance benchmarking results of neuronal network simulations that can be used stand-alone or in conjunction with beNNch. A detailed description of beNNch as well as an account of how it can be used in simulator development can be found in Albers et al. A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations (preprint), 2021.
What's Changed
- ebrains-specific adaptations of the workflow by @jasperalbers in #2
- Refactor class structure by @jasperalbers in #4
- EBRAINS-specific changes, reformatting of code structure by @jasperalbers in #5
- Use tol_colors.py from Paul Tol by @jhnnsnk in #10
- Packaging by @jasperalbers in #11
- User axis by @ackurth in #12
- Support for native NEST timers, py timers for construction timing, errorbar plots by @jasperalbers in #15
- Lighter colors, add collocate time by @jasperalbers in #16
- Fixing a few code style errors by @stinebuu in #21
- Developer documentation by @stinebuu in #22
- update readme by @jasperalbers in #25
- Update examples by @jasperalbers in #24
- Add license headers by @jasperalbers in #26
- Rename benchplot -> beNNch-plot by @jasperalbers in #28
New Contributors
- @jhnnsnk made their first contribution in #10
- @ackurth made their first contribution in #12
- @stinebuu made their first contribution in #21
Full Changelog: https://github.com/INM-6/beNNch-plot/commits/v1.0
Contributors
jhnnsnk, stinebuu, and 2 other contributors