| --- |
| configs: |
| - config_name: amd_submissions |
| data_files: "submissions.parquet" |
| - config_name: amd_successful_submissions |
| data_files: "successful_submissions.parquet" |
| - config_name: nvidia_nvfp4_submissions |
| data_files: "nvidia_nvfp4_submissions.parquet" |
| - config_name: leaderboards |
| data_files: "leaderboards.parquet" |
| tags: |
| - code |
| license: cc-by-4.0 |
| --- |
| |
| # KernelBot Competition Data |
|
|
| This dataset contains GPU kernel submissions from the KernelBot competition platform. Submissions are optimized GPU kernels written for specific hardware targets. |
|
|
| ## Data Files |
|
|
| ### AMD MI300 Submissions |
| | File | Description | |
| |------|-------------| |
| | `submissions.parquet` | All AMD competition submissions | |
| | `successful_submissions.parquet` | AMD submissions that passed correctness tests | |
| | `deduplicated_submissions.parquet` | AMD submissions deduplicated by (user, code) | |
| | `deduplicated_successful_submissions.parquet` | Deduplicated passing AMD submissions | |
|
|
| **AMD Problems:** fp8-gemm, moe (mixture of experts), mla-decode, all2all, gemm+reducescatter, allgather+gemm |
|
|
| ### NVIDIA Blackwell NVFP4 Submissions |
| | File | Size | Description | |
| |------|------|-------------| |
| | `nvidia_nvfp4_submissions.parquet` | ~1.4 GB | NVFP4 submissions deduplicated by (user, code), with full code content | |
|
|
|
|
| **Note:** Scores are execution time in seconds. **Lower is better.** |
|
|
| ## Helper Scripts |
|
|
| - `analyze_submissions.py` - Python functions for analyzing submissions |
| - `skills.md` - Documentation for data processing workflows |
|
|
| ### Quick Start |
|
|
| ```python |
| from analyze_submissions import load_submissions, top_contestants, author_progression |
| |
| # Load NVIDIA NVFP4 data |
| df = load_submissions() |
| |
| # Get top 20 for a problem |
| leaders = top_contestants(df, problem_name='nvfp4_gemm', n=20) |
| |
| # See a user's progression over time |
| progression = author_progression(df, user_name='username', problem_name='nvfp4_gemm') |
| ``` |
|
|
| ## Learn More |
|
|
| - Competition platform: [gpumode.com](https://gpumode.com) |
| - Reference kernels and problem specs: [github.com/gpu-mode/reference-kernels](https://github.com/gpu-mode/reference-kernels) |
|
|
| ## License |
|
|
| This dataset is licensed under the [Creative Commons Attribution 4.0 International License (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/). |
|
|
| You are free to share and adapt the material for any purpose, even commercially, provided you give appropriate credit. |
|
|
| **Attribution:** Please cite GPU Mode and link to this dataset. For academic papers, use the citation below. |
|
|
| ## Citation |
|
|
| If you use this dataset in your work, please cite: |
|
|
| ```bibtex |
| @inproceedings{ |
| kernelbot2025, |
| title={KernelBot: A Competition Platform for Writing Heterogeneous {GPU} Code}, |
| author={Alex L Zhang and Matej Sirovatka and Erik Schultheis and Benjamin Horowitz and Mark Saroufim}, |
| booktitle={Championing Open-source DEvelopment in ML Workshop @ ICML25}, |
| year={2025}, |
| url={https://openreview.net/forum?id=bq9U4dmuyJ} |
| } |
| ``` |
|
|
