| --- |
| configs: |
| - config_name: submissions |
| data_files: "submissions.parquet" |
| - config_name: successful_submissions |
| data_files: "successful_submissions.parquet" |
| - config_name: leaderboards |
| data_files: "leaderboards.parquet" |
| tags: |
| - code |
| license: mit |
| --- |
| |
| This is the dataset that was created from the first and second AMD $100K kernel competitions, containing roughly 110K kernels for fp8-gemm, moe, mla, all2all, gemm+reducescatter, and allgather+gemm optimized to run on MI300. Learn more at gpumode.com/v2/news |
|
|
| To see the full list of kernel competitions we've ran and are running you can checkout https://github.com/gpu-mode/reference-kernels which also contains details on reference kernels and their input shapes and distributions |
|
|
| We are planning on adding kernels optimized for NVFP4 on Blackwell next |
|
|
| If you use this dataset in your work, please cite: |
|
|
| ```bibtex |
| @inproceedings{ |
| zhang2025kernelbot, |
| 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} |
| } |
| ``` |
|
|
