Unlocking the Future of AI Kernel Development with KernelEvolve
We’re excited to introduce KernelEvolve—an innovative agentic system crafted at Meta to automatically generate and refine high-performance kernels across diverse AI accelerators. Traditional methods of kernel optimization can’t keep pace with today’s evolving AI stacks due to their reliance on hand-tuned kernels.
Key features of KernelEvolve include:
- LLM-Generated Kernels: Leverages a large language model to create candidate kernels (e.g., Triton-like code).
- Iterative Improvement: Compiles, benchmarks, and validates kernels using real hardware, enabling continuous evolution based on performance feedback.
- Scalability: Efficiently evaluates across a wide array of hardware platforms, including NVIDIA and AMD GPUs.
Our recent paper unveils:
- The architecture and search space design.
- Real-world case studies showcasing significant performance gains over traditional methods.
We invite feedback from professionals in compilers, kernels, and ML systems. Let’s drive innovation together! Read more here and join the conversation!
