Jonathan R. Madsen
957bb7a4e5
* Perfetto submodule * include/rocprofiler-sdk/cxx/perfetto.hpp - adapted from tests/common/perfetto.hpp - updated json-tool to use <rocprofiler-sdk/cxx/perfetto.hpp> * Update include/rocprofiler-sdk/cxx - add details/delimit.hpp - add details/join.hpp - extend details/mpl.hpp - extend details/operators.hpp * Update lib/rocprofiler-sdk/hsa/async_copy.cpp - update MEMORY_COPY direction names * Preliminary perfetto support * Update lib/rocprofiler-sdk-tool/generatePerfetto.cpp - fix getting roctx msg vs. buffer operation name * Temporary variable restructuring * Perfetto patches after rebasing onto main * Revert lib/rocprofiler-sdk/hsa/async_copy.cpp - revert name * Update lib/rocprofiler-sdk-tool/generatePerfetto.cpp - fix ReadTrace * Update tests/bin/hip-in-libraries - sleep_for * Support PFTRACE output format option in rocprofv3 * Change perfetto logging * Update rocprofv3 tests to generate pftrace output * Minor tweak to json-tool.cpp * Update requirements.txt for perfetto testing * Fix data race on amount_read in generatePerfetto.cpp * Add testing for pftrace output - relatively simple testing which verifies that the pftrace file has the same number of entries as JSON data for HIP/HSA/marker/kernel/memory_copy * Fix import in perfetto_reader.py * Fix data race in generatePerfetto.cpp
ROCprofiler-SDK: Application Profiling, Tracing, and Performance Analysis
Note: rocprofiler-sdk is currently not supported as part of the public ROCm software stack and is only distributed as a beta
release to customers.
Overview
ROCProfiler-SDK is AMD’s new and improved tooling infrastructure, providing a hardware-specific low-level performance analysis interface for profiling and tracing GPU compute applications. To see what's changed Click Here
GPU Metrics
- GPU hardware counters
- HIP API tracing
- HIP kernel tracing
- HSA API tracing
- HSA operation tracing
- Marker(ROCtx) tracing
Tool Support
rocprofv3 is the command line tool built using the rocprofiler-sdk library and shipped with the ROCm stack. To see details on the command line options of rocprofv3, please see rocprofv3 user guide Click Here
Documentation
We make use of doxygen to generate API documentation automatically. The generated document can be found in the following path:
<ROCM_PATH>/share/html/rocprofiler-sdk
ROCM_PATH by default is /opt/rocm It can be set by the user in different locations if needed.
Build and Installation
git clone https://git@github.com:ROCm/rocprofiler-sdk.git rocprofiler-sdk-source
cmake \
-B rocprofiler-sdk-build \
-D ROCPROFILER_BUILD_TESTS=ON \
-D ROCPROFILER_BUILD_SAMPLES=ON \
-D ROCPROFILER_BUILD_DOCS=ON \
-D CMAKE_INSTALL_PREFIX=/opt/rocm \
rocprofiler-sdk-source
cmake --build rocprofiler-sdk-build --target all --parallel 8
To install ROCprofiler, run:
cmake --build rocprofiler-sdk-build --target install
Please see the detailed section on build and installation here: Click Here
Support
Please report in the Github Issues.
Limitations
- Individual XCC mode is not supported.