AMD Developer Hackathon · Unicorn Track
Drop in a CUDA kernel. Our AI comprehends it, our Oracle mathematically proves it, and our compiler lowers it to any architecture — RISC-V GPUs, ARM, x86, and beyond.
Fireworks AI Kimi-2.6 reads raw CUDA and understands thread indexing, synchronization, and memory patterns. No manual annotation required.
Independent Clang AST simulation verifies all threads before touching silicon. Catches LLM hallucinations and data races that hardware can't reliably detect.
Write CUDA once, run anywhere. Verified kernels lowered to RISC-V GPUs (Vortex), ARM Cortex-A72, ARM Cortex-M0, x86-64, and generic RISC-V.
The Oracle detects Read-After-Write (RAW) and Write-After-Read (WAR) hazards that make parallel execution unsafe — before deployment.
Scans Verilog/SystemVerilog RTL for thread_id, parallel_spawn, barrier_sync, and addressable_memory primitives. Know your hardware before compiling.
Every subprocess streams stdout/stderr in real-time. 100% visibility into what's happening at every stage of the pipeline.
Explore the full source code, pipeline, and documentation on GitHub.
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