Auto-generated CUDA kernels outperform hand-written code

By PulseAugur Editorial · [2 sources] · 2026-05-27 22:15

New research suggests that auto-generated code is beginning to outperform hand-written CUDA kernels in terms of GPU performance. This shift is attributed to the difficulty in optimizing complex CUDA kernels at scale. The development indicates a potential future where AI-generated code becomes standard for maximizing hardware efficiency. AI

IMPACT AI-generated code is showing promise in optimizing GPU performance, potentially leading to more efficient hardware utilization.

RANK_REASON The cluster discusses a research paper and its findings on code generation for GPUs. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

X — SemiAnalysis TIER_1 English(EN) · SemiAnalysis_ · 2026-05-27 22:39

GPUs are leaving performance on the table.

GPUs are leaving performance on the table. Closing the gap between theoretical peak and real-world throughput is nearly impossible when hand-tuning CUDA kernels at scale. So why are hand-written CUDA kernels losing to auto-generated ones? Mohamed Abdelfattah at Makora has a
X — SemiAnalysis TIER_1 English(EN) · SemiAnalysis_ · 2026-05-27 22:15

GPUs are leaving performance on the table.

GPUs are leaving performance on the table. Closing the gap between theoretical peak and real-world throughput is nearly impossible when hand-tuning CUDA kernels at scale. So why are hand-written CUDA kernels losing to auto-generated ones? Mohamed Abdelfattah at Makora has a

COVERAGE [2]

GPUs are leaving performance on the table.

GPUs are leaving performance on the table.

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