KULeuven-MICAS / zigzag
HW Architecture-Mapping Design Space Exploration Framework for Deep Learning Accelerators
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Uniform Latency Model for DNN Accelerators
- LOMA. Fast Auto-Scheduling on DNN Accelerators
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 6 days ago
- Stars
- 207
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- C++
- 59% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 73% closed
- 15 still open
- Pull requests
- 69 merged
- 1 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- C++ 59%
- Python 40%
- C 1%
- Makefile <1%
Topics
- deep-learning
- hardware-acceleration
- machine-learning
- mapping-algorithms
Project record
- JobOther AI tools
- StatusListed
- Commits619
- Forks64
- Watching8
- Stars in 28 days+3
- CreatedJun 21, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026