Optimizing kernels can be time-consuming and require deep expert knowledge. KernelAgent is a multi-agent harness that can write and optimize kernels for you.
At #
PyTorchCon# North America 2026,
@KaimingCheng (
@Meta) will present “KernelAgent: Hardware-Guided GPU Kernel Optimization via Multi-Agent Orchestration.”
The session will cover a hardware-guided optimization layer that integrates GPU hardware-performance signals into a closed-loop multi-agent workflow to guide optimization for Triton kernels. Across all 100 KernelBench L1 tasks evaluated, KernelAgent achieved a 2.02x speedup over kernels generated by earlier versions and an average 1.56x speedup compared with default torch.compile.
Register for PyTorch Conference North America 2026: