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AMD ROCm documentation
ROCm is an open-source software platform optimized to extract HPC and AI workload performance from AMD Instinct GPUs and AMD Radeon GPUs while maintaining compatibility with industry software frameworks. For more information, see What is ROCm?
ROCm supports multiple programming languages and programming interfaces such as
{doc}HIP (Heterogeneous-Compute Interface for Portability)<hip:index>, OpenCL,
and OpenMP, as explained in the Programming guide.
If you're using AMD Radeon GPUs or Ryzen APUs in a workstation setting with a display connected, review {doc}ROCm on Radeon and Ryzen documentation<radeon:index>.
ROCm documentation is organized into the following categories:
::::{grid} 1 2 2 2 :gutter: 3 :class-container: rocm-doc-grid
:::{grid-item-card} Install :class-body: rocm-card-banner rocm-hue-2
- {doc}
ROCm on Linux <rocm-install-on-linux:reference/system-requirements> - {doc}
HIP SDK on Windows <rocm-install-on-windows:reference/system-requirements> - {doc}
ROCm on Radeon and Ryzen<radeon:index> - {doc}
Deep learning frameworks </how-to/deep-learning-rocm> - {doc}
Build from source </how-to/build-rocm>:::
:::{grid-item-card} How to :class-body: rocm-card-banner rocm-hue-12
- Use ROCm for AI
- AI tutorials
- Use ROCm for HPC
- System optimization
- AMD Instinct MI300X performance validation and tuning
- System debugging
- Use advanced compiler features
- Set the number of CUs
- Troubleshoot BAR access limitation
- ROCm examples :::
:::{grid-item-card} Conceptual :class-body: rocm-card-banner rocm-hue-8
- GPU architecture overview
- File structure (Linux FHS)
- GPU isolation techniques
- Using CMake
- Inception v3 with PyTorch :::
:::{grid-item-card} Reference :class-body: rocm-card-banner rocm-hue-6
- ROCm libraries
- ROCm tools, compilers, and runtimes
- GPU hardware specifications
- Hardware atomics operation support
- Environment variables
- Data types and precision support
- Graph safe support
:::
::::