Better kernels for real workloads.
Bring a GPU bottleneck. Set a reward and a deadline. Give engineers a clear problem to solve, and receive source you can put to the test.
A useful result needs more than a faster benchmark: correct outputs, reproducible measurements, and a fit for your production stack. Set those requirements before the work begins.
Looking to optimize? Browse open bounties.
- 01DefineFreeze the workload, environment, and scoring contract.
- 02OptimizeDevelop focused kernel candidates against one baseline.
- 03EvaluateReproduce results and inspect integration requirements.
- 04IntegrateHand off source, evidence, and implementation notes.
Illustrative workflow. Evaluation and payouts are arranged manually.
CUDATritonPyTorch
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The board starts with a real problem and rules a sponsor is willing to stand behind.