xuchen-amd
b774f28181
* Remove grafana and mongodb integration * Remove grafana documentation assets * clarify changelog --------- Co-authored-by: Vignesh Edithal <Vignesh.Edithal@amd.com>
72 строки
2.6 KiB
ReStructuredText
72 строки
2.6 KiB
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.. meta::
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:description: What is ROCm Compute Profiler?
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:keywords: Omniperf, ROCm, profiler, tool, Instinct, accelerator, AMD
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******************************
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What is ROCm Compute Profiler?
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******************************
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ROCm Compute Profiler is a kernel-level profiling tool for machine learning and high
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performance computing (HPC) workloads running on AMD Instinct™ accelerators.
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AMD Instinct MI-series accelerators are data center-class GPUs designed for
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compute and have some graphics capabilities disabled or removed.
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ROCm Compute Profiler primarily targets use with
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:doc:`accelerators in the MI300, MI200, and MI100 families <rocm:conceptual/gpu-arch>`.
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Development is in progress to support Radeon™ (RDNA) GPUs.
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ROCm Compute Profiler is built on top of :doc:`ROCProfiler <rocprofiler:index>` to
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monitor hardware performance counters.
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.. _high-level-design:
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High-level design
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=================
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The architecture of ROCm Compute Profiler consists of three major components shown in the
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following diagram.
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Core ROCm Compute Profiler
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--------------------------
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Acquires raw performance counters via application replay using ``rocprof``.
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Counters are stored in a comma-separated-values format for further
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:doc:`analysis <how-to/analyze/mode>`. It runs a set of accelerator-specific
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micro-benchmarks to acquire hierarchical roofline data. The roofline model is
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not available on accelerators pre-MI200.
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ROCm Compute Profiler standalone GUI analyzer
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---------------------------------------------
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ROCm Compute Profiler provides a :doc:`standalone GUI <how-to/analyze/standalone-gui>` to
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enable basic performance analysis.
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Features
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========
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ROCm Compute Profiler offers comprehensive profiling based on all available hardware counters
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for the target accelerator. It delivers advanced performance analysis features,
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such as system Speed-of-Light (SOL) and hardware block-level SOL evaluations.
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Additionally, ROCm Compute Profiler provides in-depth memory chart analysis, roofline
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analysis, baseline comparisons, and more, ensuring a thorough understanding of
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system performance.
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ROCm Compute Profiler supports analysis through both the :doc:`command line </how-to/analyze/cli>`.
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The following list describes ROCm Compute Profiler's features at a high level.
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* :doc:`Support for AMD Instinct MI300, MI200, and MI100 accelerators <reference/compatible-accelerators>`
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* :doc:`Standalone GUI analyzer </how-to/analyze/standalone-gui>`
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* :ref:`Filtering <filtering>` to reduce profiling time
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* Filtering by dispatch
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* Filter by kernel
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* Filtering by GPU ID
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* :ref:`Baseline comparisons <analysis-baseline-comparison>`
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* :ref:`Multiple normalizations <normalization-units>`
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