From a223c4773031a941fe0f473a919054c3b180c91b Mon Sep 17 00:00:00 2001 From: Bence Parajdi Date: Wed, 14 Aug 2024 15:06:09 +0200 Subject: [PATCH] Documentation: Add hardware capabilities page Co-authored-by: Matthias Knorr --- docs/index.md | 1 + docs/reference/cpp_language_extensions.rst | 7 +- docs/reference/hardware_features.rst | 249 +++++++++++++++++++++ docs/sphinx/_toc.yml.in | 1 + 4 files changed, 257 insertions(+), 1 deletion(-) create mode 100644 docs/reference/hardware_features.rst diff --git a/docs/index.md b/docs/index.md index 0ef68cd649..a9a9b26249 100644 --- a/docs/index.md +++ b/docs/index.md @@ -57,6 +57,7 @@ The HIP documentation is organized into the following categories: * [Comparing syntax for different APIs](./reference/terms) * [List of deprecated APIs](./reference/deprecated_api_list) * [FP8 numbers in HIP](./reference/fp8_numbers) +* {doc}`./understand/hardware_features` ::: diff --git a/docs/reference/cpp_language_extensions.rst b/docs/reference/cpp_language_extensions.rst index c0b804c552..243b6ae08e 100644 --- a/docs/reference/cpp_language_extensions.rst +++ b/docs/reference/cpp_language_extensions.rst @@ -293,6 +293,7 @@ dimensions to 1. dim3(uint32_t _x=1, uint32_t _y=1, uint32_t _z=1) : x(_x), y(_y), z(_z) {}; }; +.. _memory_fence_instructions: Memory fence instructions ==================================================== @@ -306,7 +307,7 @@ HIP supports ``__threadfence()`` and ``__threadfence_block()``. If you're using ``hipHostMalloc()``. * Remove ``memcpy`` for all allocated fine-grained system memory regions. -.. _synchronization functions: +.. _synchronization_functions: Synchronization functions ==================================================== @@ -376,6 +377,8 @@ To read a high-resolution timer from the device, HIP provides the following buil Note that ``clock()`` and ``clock64()`` do not work properly on AMD RDNA3 (GFX11) graphic processors. +.. _atomic functions: + Atomic functions =============================================== @@ -734,6 +737,8 @@ will be enabled unconditionally in the next ROCm release. Wherever possible, the implementation includes a static assert to check that the program source uses the correct type for the mask. +.. _warp_vote_functions: + Warp vote and ballot functions ------------------------------------------------------------------------------------------------------------- diff --git a/docs/reference/hardware_features.rst b/docs/reference/hardware_features.rst new file mode 100644 index 0000000000..7ec9ec329e --- /dev/null +++ b/docs/reference/hardware_features.rst @@ -0,0 +1,249 @@ +.. meta:: + :description: This chapter describes the hardware features of the different hardware architectures. + :keywords: AMD, ROCm, HIP, hardware, hardware features, hardware architectures + +******************************************************************************* +Hardware features +******************************************************************************* + +This page gives an overview of the different hardware architectures and the +features they implement. Hardware features do not imply performance, that +depends on the specifications found in the :doc:`rocm:reference/gpu-arch-specs` +page. + + .. list-table:: + :header-rows: 1 + :name: hardware-features-table + + * + - Hardware feature support + - RDNA1 + - CDNA1 + - RDNA2 + - CDNA2 + - RDNA3 + - CDNA3 + * + - :ref:`atomic functions` on 32-bit integer values in global and shared memory + - ✅ + - ✅ + - ✅ + - ✅ + - ✅ + - ✅ + * + - Atomic functions on 64-bit integer values in global and shared memory + - ✅ + - ✅ + - ✅ + - ✅ + - ✅ + - ✅ + * + - Atomic addition on 32-bit floating point values in global and shared memory + - ❌ + - ❌ + - ✅ + - ✅ + - ✅ + - ✅ + * + - Atomic addition on 64-bit floating point values in global memory and shared memory + - ❌ + - ❌ + - ✅ + - ✅ + - ✅ + - ✅ + * + - :ref:`Warp vote functions ` + - ✅ + - ✅ + - ✅ + - ✅ + - ✅ + - ✅ + * + - :ref:`Memory fence instructions ` + - ✅ + - ✅ + - ✅ + - ✅ + - ✅ + - ✅ + * + - :ref:`Synchronization functions ` + - ✅ + - ✅ + - ✅ + - ✅ + - ✅ + - ✅ + * + - :ref:`Surface functions ` + - ✅ + - ✅ + - ✅ + - ✅ + - ✅ + - ✅ + * + - :ref:`float16 half precision IEEE-conformant floating-point operations` + - ✅ + - ✅ + - ✅ + - ✅ + - ✅ + - ✅ + * + - :ref:`bfloat16 16-bit floating-point operations` + - ❌ + - ✅ + - ❌ + - ✅ + - ✅ + - ✅ + * + - Support for :ref:`8-bit floating-point types ` + - ❌ + - ❌ + - ❌ + - ❌ + - ❌ + - ✅ + * + - Support for :ref:`tensor float32 ` + - ❌ + - ❌ + - ❌ + - ❌ + - ❌ + - ✅ + * + - Packed math with 16-bit floating point values + - ✅ + - ✅ + - ✅ + - ✅ + - ✅ + - ✅ + * + - Packed math with 32-bit floating point values + - ❌ + - ❌ + - ❌ + - ✅ + - ❌ + - ✅ + * + - Matrix Cores + - ❌ + - ✅ + - ❌ + - ✅ + - ❌ + - ✅ + * + - On-Chip Error Correcting Code (ECC) + - ✅ + - ✅ + - ✅ + - ✅ + - ✅ + - ✅ + * + - Maximum dimensionality of grid + - 3 + - 3 + - 3 + - 3 + - 3 + - 3 + * + - Maximum x-, y- or z-dimension of a grid + - :math:`2^{32} - 1` + - :math:`2^{32} - 1` + - :math:`2^{32} - 1` + - :math:`2^{32} - 1` + - :math:`2^{32} - 1` + - :math:`2^{32} - 1` + * + - Maximum number of threads per grid + - :math:`2^{32} - 1` + - :math:`2^{32} - 1` + - :math:`2^{32} - 1` + - :math:`2^{32} - 1` + - :math:`2^{32} - 1` + - :math:`2^{32} - 1` + * + - Maximum x-, y- or z-dimension of a block + - :math:`1024` + - :math:`1024` + - :math:`1024` + - :math:`1024` + - :math:`1024` + - :math:`1024` + * + - Maximum number of threads per block + - :math:`1024` + - :math:`1024` + - :math:`1024` + - :math:`1024` + - :math:`1024` + - :math:`1024` + * + - Wavefront size + - 32 [1]_ + - 64 + - 32 [1]_ + - 64 + - 32 [1]_ + - 64 + * + - Maximum number of resident blocks per compute unit + - 40 [1]_ + - 32 + - 32 [1]_ + - 32 + - 32 [1]_ + - 32 + * + - Maximum number of resident wavefronts per compute unit + - 40 [1]_ + - 32 + - 32 [1]_ + - 32 + - 32 [1]_ + - 32 + * + - Maximum number of resident threads per compute unit + - 1280 [2]_ + - 2048 + - 1024 [2]_ + - 2048 + - 1024 [2]_ + - 2048 + * + - Maximum number of 32-bit vector registers per thread + - 256 + - 256 (vector) + 256 (matrix) + - 256 + - 256 (vector) + 256 (matrix) + - 256 + - 256 (vector) + 256 (matrix) + * + - Maximum number of 32-bit scalar accumulation registers per thread + - 106 + - 104 + - 106 + - 104 + - 106 + - 104 + +.. [1] RDNA architectures have a configurable wavefront size. The native + wavefront size is 32, but they can run in "CU mode", which has an effective + wavefront size of 64. This affects the number of resident wavefronts and + blocks per compute Unit. +.. [2] RDNA architectures expand the concept of the traditional compute unit + with the so-called work group processor, which effectively includes two + compute units, within which all threads can cooperate. diff --git a/docs/sphinx/_toc.yml.in b/docs/sphinx/_toc.yml.in index f36efda6cc..60dacd8382 100644 --- a/docs/sphinx/_toc.yml.in +++ b/docs/sphinx/_toc.yml.in @@ -114,6 +114,7 @@ subtrees: title: List of deprecated APIs - file: reference/fp8_numbers title: FP8 numbers in HIP + - file: reference/hardware_features - caption: Tutorials entries: