AsmEvo: Agentic Assembly-Level Optimization of AMD GPU Kernels with Functional Equivalence Verification
Researchers have developed AsmEvo, an agentic assembly-level optimizer for AMD GPU kernels. It optimizes already compiled code objects by reconstructing a reassemblable representation, proposing low-level edits with a long-horizon agent, and rebuilding an ABI-preserving optimized object. The team conducted extensive experiments on various AMD GPU kernels, achieving significant speedups while preserving functional equivalence.
Researchers have developed AsmEvo, an agentic assembly-level optimizer for AMD GPU kernels. It optimizes already compiled code objects by reconstructing a reassemblable representation, proposing low-level edits with a long-horizon agent, and rebuilding an ABI-preserving optimized object. The team conducted extensive experiments on various AMD GPU kernels, achieving significant speedups while preserving functional equivalence.
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Why it matters: This matters to engineers working on high-performance ML systems because it provides a way to optimize compiled code objects that were previously inaccessible for editing. This can lead to improved performance and efficiency in these systems.
Source: https://arxiv.org/abs/2608.20711
This article was originally published at: https://arxiv.org/abs/2608.20711