Tiramisu-Compiler / tiramisu
A polyhedral compiler for expressing fast and portable data parallel algorithms
Why this job: works in the areas we cover, but does not say which job it does
What it does
Tiramisu is a compiler for expressing fast and portable data parallel computations. It provides a simple C++ API for expressing algorithms (Tiramisu expressions) and how these algorithms should be optimized by the compiler. Tiramisu can be used in areas such as linear and tensor algebra, deep learning, image processing, stencil computations and machine learning.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 months ago
- Stars
- 964
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- V0.1
- Released 8 years ago
- Built with
- C++
- 63% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 42% closed
- 38 still open
- Pull requests
- 317 merged
- 7 waiting
- Releases
- 2
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- C++ 63%
- Jupyter Notebook 21%
- Python 9%
- C 4%
Topics
- code-generation
- compiler
- deep-neural-networks
- library
- linear-algebra
- machine-learning
- optimization
- tensor-algebra
- tensors
Project record
- JobOther AI tools
- StatusListed
- Commits3,878
- Forks141
- Watching41
- Stars in 28 days+2
- CreatedMay 9, 2016
- First seen by usNov 7, 2026
- CheckedNov 7, 2026