Segment 3

In this sub-session, the assistant pivoted from a shared mutex hack to a robust multi-GPU fix by threading a gpu_index parameter through the C++ groth16_cuda.cu, Rust FFI lib.rs, bellperson prover functions, pipeline layer, and engine.rs. The fix was built, deployed to the remote test host, and verified via nvidia-smi, journalctl, and nvtop, confirming both GPUs active with proper load balancing. The changes were committed across five files with a detailed message. Immediately following, the assistant began preparing a Docker container packaging Curio, CuZK, and CUDA dependencies for fetching 32G PoRep and Snap proving parameters, researching the existing build system and incorporating user configuration decisions (mainnet build, CUDA 13 base image, runtime parameter fetching via entrypoint script).

Implement multi-GPU fix via gpu_index parameter threading across C++ and Rust layersDeploy and verify multi-GPU fix on remote test host with load balancingBegin Docker container packaging for Curio/CuZK/CUDA parameter fetching

Threading GPU Awareness Through the Stack: From Shared Mutex Hack to Proper Multi-GPU Architecture 3560 words

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