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Agentic Kernel Performance Tuning with AMD ROCm

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This session introduces an agentic kernel development workflow for optimizing AI and HPC workloads on AMD ROCm. Learn how a self-directing optimization loop can profile, analyze, optimize, validate, and generate production-ready kernel improvements with minimal manual tuning. The talk highlights how AMD is accelerating kernel engineering by reducing weeks of performance optimization effort into an automated, scalable workflow for developers and performance engineers.

July 23, 2026 13:20 - 13:40

Topic

Developer Platforms & Open Ecosystems

AI Training & Inference

Session Type

Tech Talk

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