ParallelKernelBench
Not in model cards
Models replace PyTorch and NCCL reference code with multi-GPU CUDA kernels for 87 problems from codebases such as Megatron-LM and DeepSpeed. Scored on correctness and speed over the baseline.
Default runs use 8 H100 GPUs. Best zero-shot model solved 28 of 87 at launch.
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Code A program or patch run against tests.
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for ParallelKernelBench yet.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
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