This hackathon is in-person at Daisytuner Headquarters, Darmstadt, Germany

**View details and join hackathon** --> https://compilers-and-processors.devpost.com/

*Hosted by Daisytuner*

In this hackathon, you'll take on the challenge of compiling **legacy code** to run efficiently on the **Tenstorrent Wormhole, a** modern **tensor processors**.
But you're not starting from scratch—we'll be building on top of [dace](https://github.com/spcl/dace)/[sdfglib](https://github.com/daisytuner/sdfglib), implementing **stateful dataflow multigraphs** ([Ben-Nun et al., SC'19](https://dl.acm.org/doi/10.1145/3295500.3356173)), and bringing in ideas from **Tensorize** ([Brauckmann et al., CGO’25](https://dl.acm.org/doi/10.1145/3696443.3708956)) to optimize code for AI-native execution models.
This is your chance to explore **data-centric compilation** and modern tensor chips.

### Requirements

Participants will:
- **Analyze and transform legacy codes** using stateful dataflow multigraphs.
\- Extend dace/sdfglib to support the **lifting of tensor operations from loops**, inspired by Tensorize.
\- Target a **state-of-the-art tensor processor,** a **Tenstorrent Wormhole**
\- Develop **IR passes, scheduling strategies**, or new representations that help legacy code embrace tensorized compute.

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