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.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A system that auto-generates statically verified megakernels for LLM forward passes, retargets across NVIDIA architectures from one source, matches reference outputs exactly, and self-improves via an agent loop.
citing papers explorer
-
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.
-
AutoMegaKernel: A Statically-Checked Agent Harness for Self-Retargeting Megakernel Synthesis
A system that auto-generates statically verified megakernels for LLM forward passes, retargets across NVIDIA architectures from one source, matches reference outputs exactly, and self-improves via an agent loop.