Ryan Scott White
AI Systems Architect & GPU Computing Pioneer
Building innovative solutions at the intersection of artificial intelligence, GPU computing, and systems programming. Based in the San Francisco Bay Area.
Featured Projects
Pioneering tools and research in AI, GPU computing, and systems optimization
GCN Assembler for AMD GPUs
Revolutionary open-source AMD GCN GPU assembler/compiler written in C# (.NET), introducing groundbreaking concepts for GPU programming efficiency.
Key Innovations:
Three-letter abbreviated datatypes (v4i, s8f) for intuitive register management
Automatic register allocation with manual override capability
Inline variable declarations directly in assembly instructions
Advanced variable indexing for multi-register operations
CudaPAD
Revolutionary CUDA development environment showing source and assembly side-by-side with live updates—years ahead of mainstream tools.
Breakthrough Features:
Real-time recompilation with instant visual diff
Intelligent source-to-assembly alignment
Advanced register analysis and highlighting
Detecting Infinite Loops
Original research on halting problem detection for finite-memory programs, exploring novel approaches without prior research references.
Let's Build Something Amazing
Interested in AI, GPU computing, or systems programming? Let's connect and explore the possibilities.