gpu-kernels.
8 writings found
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Transferring GPU Expertise Across Hardware with AI-Driven Kernel Search
How K-Search uses LLMs and structured translation to port decades of CUDA optimization knowledge to Apple Silicon without rewriting from scratch.
Transferring GPU Expertise Across Hardware: K-Search and the MLX Frontier
How AI-driven kernel search bridges CUDA expertise to Apple Silicon, enabling near-expert performance without rebuilding optimization knowledge from scratch.
Transferring GPU Expertise Across Hardware with AI
How evolutionary kernel search bridges CUDA knowledge to Apple Silicon, reducing optimization work from months to minutes using structured translation.
Transferring GPU Expertise Across Hardware With AI-Driven Kernel Search
How evolutionary AI can translate CUDA kernel knowledge to Apple Silicon and beyond, breaking the cycle of rediscovering optimizations for each new chip.
Transferring CUDA Expertise to Apple Silicon With AI-Driven Kernel Search
How K-Search uses AI and structured translation to automatically port GPU kernel optimizations from CUDA to MLX, reaching near-expert performance without manual rewrites.
Transferring GPU Expertise Across Hardware with AI
How evolutionary kernel search bridges CUDA optimization knowledge to Apple Silicon, eliminating the need to rediscover decades of GPU tuning for each new architecture.
Transferring GPU Expertise Across Hardware with AI
How K-Search and structured translation layers enable automatic kernel optimization across CUDA, MLX, and beyond without expert teams.
Transferring GPU Expertise Across Hardware: K-Search Brings CUDA Knowledge to Apple Silicon
How evolutionary search and structured translation layers let AI automatically port decades of CUDA kernel optimizations to Apple Silicon, reaching near-expert performance without manual rewrites.