Apex GPU: Run CUDA Apps on AMD GPUs Without Recompilation

It intercepts CUDA API calls at runtime and translates them to HIP/rocBLAS/MIOpen.

No source code needed. No recompilation. Just:

  LD_PRELOAD=./libapex_hip_bridge.so ./your_cuda_app

 

- 38 CUDA Runtime functions

- 15+ cuBLAS operations (matrix multiply, etc)

- 8+ cuDNN operations (convolutions, pooling, batch norm)

- PyTorch training and inference

Built in ~10 hours using dlopen/dlsym for dynamic loading. 100% test pass rate.

The goal: break NVIDIA's CUDA vendor lock-in and make AMD GPUs viable for

existing CUDA workloads without months of porting effort.