Berkeley AI Research·· 2026-07-29
From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon
From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon
AI summary
Berkeley AI Research and IBM Research extended the K-Search evolutionary kernel search framework to MLX, transferring existing CUDA kernel knowledge to Apple Silicon through a structured CUDA-to-MLX translation layer.
Selection record
Threshold 60Official, first-handFirst 62Second 62
AdmittedSum of both 124 ≥ twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：AI驱动内核搜索与MLX优化，实质AI技术
- Why it was chosen
- It shows how CUDA expertise transfers systematically to Apple Silicon and quantifies the translation layer's contribution to performance gains.
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: Berkeley AI Research · bair.berkeley.edu