Show HN: MoA – Attention kernel proven minimal before code was written

Category: ai-ml

Tags: formal-verification, attention-kernels, hpc, transformer-optimization, memory-optimal

Score: 6.3/10 (Innovation: 8, Technical: 8, Documentation: 5, Utility: 4)

MoA Attention Verified presents a formal derivation of memory-optimal attention kernels with real-hardware validation on HPC clusters, achieving theoretical lower bounds. The project combines formal methods with high-performance computing, offering a rigorous approach to transformer efficiency.

Target audience: AI researchers, HPC engineers, performance optimization specialists

Repository: https://github.com/womenflyplanes/moa-attention-verified-mullin · TeX · MIT · 1 stars

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