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AMD ROCm™ documentation
Welcome to the ROCm docs home page! If you're new to ROCm, you can review the following resources to learn more about our products and what we support:
You can install ROCm on our Radeon™, Radeon™ PRO, and Instinct™ GPUs. If you're using Radeon
GPUs, we recommend reading the
{doc}Radeon-specific ROCm documentation<radeon:index>.
Our documentation is organized into the following categories:
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- Linux
- {doc}
Quick-start (Linux)<rocm-install-on-linux:tutorial/quick-start> - {doc}
Linux install guide<rocm-install-on-linux:how-to/native-install/index> - {doc}
Package manager integration<rocm-install-on-linux:how-to/native-install/package-manager-integration>
- {doc}
- Windows
- {doc}
Windows install guide<rocm-install-on-windows:how-to/install> - {doc}
Application deployment guidelines<rocm-install-on-windows:conceptual/deployment-guidelines>
- {doc}
- {doc}
Install Docker containers<rocm-install-on-linux:how-to/docker> - {doc}
PyTorch for ROCm<rocm-install-on-linux:how-to/3rd-party/pytorch-install> - {doc}
TensorFlow for ROCm<rocm-install-on-linux:how-to/3rd-party/tensorflow-install> - {doc}
MAGMA for ROCm<rocm-install-on-linux:how-to/3rd-party/magma-install> - {doc}
ROCm & Spack<rocm-install-on-linux:how-to/spack>:::
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- {doc}
System requirements (Linux)<rocm-install-on-linux:reference/system-requirements> - {doc}
System requirements (Windows)<rocm-install-on-windows:reference/system-requirements> - {doc}
Third-party<rocm-install-on-linux:reference/3rd-party-support-matrix> - {doc}
User/kernel space<rocm-install-on-linux:reference/user-kernel-space-compat-matrix> - {doc}
Docker<rocm-install-on-linux:reference/docker-image-support-matrix> - OpenMP
- {doc}
ROCm on Radeon GPUs<radeon:index>:::
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- API libraries
- Artificial intelligence
- C++ primitives
- Communication
- Fast Fourier transforms
- HIP
- Linear algebra
- Random number generators
- Tools
- Development
- Performance analysis
- System :::
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- System tuning for various architectures
- Setting up for deep learning with ROCm
- GPU-enabled MPI
- System level debugging
- GitHub examples :::
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- GPU architecture
- GPU memory
- Compiler disambiguation
- File structure (Linux FHS)
- GPU isolation techniques
- LLVM ASan
- Using CMake
- ROCm & PCIe atomics
- Inception v3 with PyTorch
- Inference optimization with MIGraphX
- OpenMP support in ROCm :::
::::