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Rethinking Agentic Kernel Generation for Emerging Accelerators
Emerging accelerators often lack mature compiler backends, motivating neural agents that generate and repair kernels from architectural documentation and simulator feedback. This approach repeatedly reconstructs workload-invariant machine semantics, including instruction behavior, legality constrain
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