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100 lines
2.6 KiB
Markdown
100 lines
2.6 KiB
Markdown
# AMD ROCm™ Platform - Powering Your GPU Computational Needs
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:::::{grid} 1 1 3 3
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:gutter: 1
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::::{grid-item}
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:::{dropdown} [What is ROCm?](rocm)
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ROCm is an open-source stack for GPU computation. ROCm is primarily
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Open-Source Software (OSS) that allows developers the freedom to customize and
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tailor their GPU software for their own needs while collaborating with a
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community of other developers, and helping each other find solutions in an
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agile, flexible, rapid and secure manner. [more...](rocm)
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::::
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::::{grid-item}
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:::{dropdown} [Deploy ROCm](deploy)
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- {doc}`/deploy/linux/index`
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- {doc}`/deploy/quick_start_windows`
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- {doc}`/deploy/docker`
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:::
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::::
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::::{grid-item}
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:::{dropdown} [Release Info](release)
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- [Release Notes](release)
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- [GPU and OS Support](release/gpu_os_support)
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- [Known Issues](https://github.com/RadeonOpenCompute/ROCm/labels/Verified%20Issue)
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- [Compatibility](release/compatibility)
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- [Licensing](release/licensing)
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:::
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::::
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:::::
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::::{grid} 1 2 2 2
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:class-container: rocm-doc-grid
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:::{grid-item-card}
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:padding: 2
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[APIs and Reference](reference/all)
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^^^
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- [HIP](reference/hip)
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- [Math Libraries](reference/gpu_libraries/math)
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- [C++ Primitives](reference/gpu_libraries/c++_primitives)
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- [Communication Libraries](reference/gpu_libraries/communication)
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- [AI Libraries](reference/ai_tools)
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- [Computer Vision](reference/computer_vision)
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- [OpenMP](reference/openmp/openmp)
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- [Compilers and Tools](reference/compilers)
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- [Management Tools](reference/management_tools)
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- [Validation Tools](reference/validation_tools)
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- [GPU Architecture](reference/gpu_arch)
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- [GPU Isolation Techniques](reference/gpu_isolation)
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:::
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:::{grid-item-card}
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:padding: 2
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Understand ROCm
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^^^
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- [Compiler Disambiguation](understand/compiler_disambiguation)
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- [ISV Deployment Guide (Windows)](understand/isv_deployment_win)
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- [Using CMake](understand/cmake_packages)
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- [ROCm File Reorganization White Paper](understand/file_reorg)
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:::
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:::{grid-item-card}
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:padding: 2
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How to Guides
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^^^
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- [Setting up for Deep Learning with ROCm](how_to/deep_learning_rocm)
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- [Magma Installation](how_to/magma_install/magma_install)
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- [PyTorch Installation](how_to/pytorch_install/pytorch_install)
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- [TensorFlow Installation](how_to/tensorflow_install/tensorflow_install)
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- [System Level Debugging](how_to/system_debugging.md)
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:::
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:::{grid-item-card}
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:padding: 2
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Examples
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^^^
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- [ROCm Examples](https://github.com/amd/rocm-examples)
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- [AMD lab notes](https://github.com/amd/amd-lab-notes)
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- [AI/ML/Inferencing](examples/ai_ml_inferencing)
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- [Inception V3 with PyTorch](examples/inception_casestudy/inception_casestudy)
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:::
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::::
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