Spaces:
Running
Running
| title: cuobjdump / nvdisasm | |
| emoji: 🔍 | |
| colorFrom: green | |
| colorTo: gray | |
| sdk: gradio | |
| sdk_version: 6.29.1 | |
| app_file: app.py | |
| pinned: false | |
| short_description: Disassemble CUDA cubins with cuobjdump and nvdisasm | |
| Upload a CUDA cubin, fatbin or ELF object and run NVIDIA's `cuobjdump` or `nvdisasm` on it. | |
| Both tools are installed from PyPI (`nvidia-cuda-cuobjdump`, `nvidia-cuda-nvdisasm`); no GPU required. | |
| nvdisasm 13.x cannot build control flow graphs for old-format CUDA ELF (pre-CUDA 13, OSABI `0x33`), so those files are | |
| routed to nvdisasm 12.9, downloaded from NVIDIA's redist site at startup. | |
| `examples/` holds two cubins assembled with `ptxas` from the included PTX sources. | |