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* Revamped PCIe into new format and incorporated style guide * Title case fixed * Quick fix and changes * Added RMW to wordlist and updated titles * Grammatical fixes incorporated * Sandra's review feedback incorporated * Removed PCIe3 feature reference * Leo's feedback incorporated * Sandra's feedback incorporated * Replaced execute with run * Replaced executing with running * SME review feedback incorporated * Minor feedback updated * Sandra's feedback incorporated * Filename renamed * File rename changes updated * Document title updated --------- Co-authored-by: prbasyal <prbasyal@amd.com>
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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 accelerators 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™ PRO or Radeon GPUs in a workstation setting with a display connected, review {doc}Radeon-specific ROCm 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> - ROCm on Radeon GPUs
- {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
- Use ROCm for HPC
- Fine-tune LLMs and inference optimization
- System optimization
- AMD Instinct MI300X performance validation and tuning
- GPU cluster networking
- System debugging
- Use MPI
- Use advanced compiler features
- Set the number of CUs
- ROCm examples :::
:::{grid-item-card} Conceptual :class-body: rocm-card-banner rocm-hue-8
- GPU architecture overview
- Input-Output Memory Management Unit (IOMMU)
- File structure (Linux FHS)
- GPU isolation techniques
- Using CMake
- PCIe atomics in ROCm
- Inception v3 with PyTorch
- Oversubscription of hardware resources :::
:::{grid-item-card} Reference :class-body: rocm-card-banner rocm-hue-6
- ROCm libraries
- ROCm tools, compilers, and runtimes
- Accelerator and GPU hardware specifications
- Precision support :::
::::