A latent dynamics model for schedule trajectories in TVM AutoScheduler finds programs with 1.37x better GPU latency than Ansor using the same 64 trials and matches 10K-trial Ansor with 10x fewer measurements.
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KLineage derives verified optimization skills from backward lineages of expert GPU kernels to guide LLM agents toward higher-quality and more efficient kernels than memory-based baselines.
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Toward Compiler World Models: Learning Latent Dynamics for Efficient Tensor Program Search
A latent dynamics model for schedule trajectories in TVM AutoScheduler finds programs with 1.37x better GPU latency than Ansor using the same 64 trials and matches 10K-trial Ansor with 10x fewer measurements.
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Learning When to Optimize: Verified Optimization Skills from Expert GPU-Kernel Lineages
KLineage derives verified optimization skills from backward lineages of expert GPU kernels to guide LLM agents toward higher-quality and more efficient kernels than memory-based baselines.