rocm-systems/projects/rocprofiler

ROCm Profiling Tools

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Introduction

ROCProfiler is AMD’s tooling infrastructure that provides a hardware specific low level performance analysis interface for the profiling and the tracing of GPU compute applications.

ROCProfiler V1

Profiling with metrics and traces based on perfcounters (PMC) and traces (SPM). Implementation is based on AqlProfile HSA extension. The last API library version for ROCProfiler v1 is 8.0.0

The library source tree:

• doc - Documentation
• include/rocprofiler/rocprofiler.h - Library public API
• include/rocprofiler/v2/rocprofiler.h - V2 Beta Library public API
• include/rocprofiler/v2/rocprofiler_plugins.h - V2 Beta Tool's Plugins Library public API
• src - Library sources
  • core - Library API sources
  • util - Library utils sources
  • xml - XML parser
• test - Library test suite
  • ctrl - Test controll
  • util - Test utils
  • simple_convolution - Simple convolution test kernel

Build environment

Roctracer & Rocprofiler need to be installed in the same directory.

export CMAKE_PREFIX_PATH=<path_to_hsa-runtime_includes>:<path_to_hsa-runtime_library>
export CMAKE_BUILD_TYPE=<debug|release> # release by default
export CMAKE_DEBUG_TRACE=1 # 1 to enable debug tracing

To build with the current installed ROCM:

cd .../rocprofiler
./build.sh ## (for clean build use `-cb`)

To run the test:

cd .../rocprofiler/build
export LD_LIBRARY_PATH=.:$LD_LIBRARY_PATH # paths to ROC profiler and oher libraries
export HSA_TOOLS_LIB=librocprofiler64.so.1 # ROC profiler library loaded by HSA runtime
export ROCP_TOOL_LIB=test/librocprof-tool.so # tool library loaded by ROC profiler
export ROCP_METRICS=metrics.xml # ROC profiler metrics config file
export ROCP_INPUT=input.xml # input file for the tool library
export ROCP_OUTPUT_DIR=./ # output directory for the tool library, for metrics results file 'results.txt' and trace files
./<your_test>

Internal 'simple_convolution' test run script:

cd .../rocprofiler/build
./run.sh

• To enabled error messages logging to '/tmp/rocprofiler_log.txt':

export ROCPROFILER_LOG=1

• To enable verbose tracing:

export ROCPROFILER_TRACE=1

Supported AMD GPU Architectures (V1)

The following AMD GPU architectures are supported with ROCprofiler V1:

• gfx8 (Fiji/Ellesmere)
• gfx900 (AMD Vega 10)
• gfx906 (AMD Vega 7nm also referred to as AMD Vega 20)
• gfx908 (AMD Instinct™ MI100 accelerator)
• gfx90a (AMD Instinct™ MI200)

---

Note: ROCProfiler V1 tool usage documentation is available at Click Here

---

ROCProfiler V2

The first API library version for ROCProfiler v2 is 9.0.0

---

Note: ROCProfilerV2 is currently considered a beta version and is subject to change in future releases

---

ROCProfilerV2 Modules

• Counters
• Hardware
• Generic Buffer
• Session
• Filter
• Tools
• Plugins
• Samples
• Tests

Getting started

Requirements

• makecache

• Gtest Development Package (Ubuntu: libgtest-dev)

• libsystemd-dev, libelf-dev, libnuma-dev, libpciaccess-dev on ubuntu or their corresponding packages on any other OS

• Cppheaderparser, websockets, matplotlib, lxml, barectf Python3 Packages

• Python packages can be installed using:

  pip3 install -r requirements.txt
  

Build

The user has two options for building:

• Option 1 (It will install in the path saved in ROCM_PATH environment variable or /opt/rocm if ROCM_PATH is empty):

  • Run

    Normal Build

    ./build.sh --build OR ./build.sh -b
    

    Clean Build

    ./build.sh --clean-build OR ./build.sh -cb
    

• Option 2 (Where ROCM_PATH envronment need to be set with the current installation directory of rocm), run the following:

  • Creating the build directory

    mkdir build && cd build
    

  • Configuring the rocprofv2 build

    cmake -DCMAKE_PREFIX_PATH=$ROCM_PATH -DCMAKE_MODULE_PATH=$ROCM_PATH/hip/cmake -DROCPROFILER_BUILD_TESTS=1 -DROCPROFILER_BUILD_SAMPLES=1 <CMAKE_OPTIONS> ..
    

  • Building the main runtime of the rocprofv2 project

    cmake --build . -- -j
    

  • Optionally, for building API documentation

    cmake --build . -- -j doc
    

  • Optionally, for building packages (DEB, RPM, TGZ) Note: Requires rpm package on ubuntu

    cmake --build . -- -j package
    

Install

• Optionally, run the following to install

  cd build
  cmake --build . -- -j install
  

Features & Usage

rocsys

A command line utility to control a session (launch/start/stop/exit), with the required application to be traced or profiled in a rocprofv2 context. Usage:

• Launch the application with the required profiling and tracing options with giving a session identifier to be used later

  rocsys --session session_name launch mpiexec -n 2 rocprofv2 -i samples/input.txt Histogram
  

• Start a session with a given identifier created at launch

  rocsys --session session_name start
  

• Stop a session with a given identifier created at launch

  rocsys –session session_name stop
  

• Exit a session with a given identifier created at launch

  rocsys –session session_name exit
  

Counters and Metric Collection

HW counters and derived metrics can be collected using following option:

rocprofv2 -i samples/input.txt <app_relative_path>

input.txt content Example (Details of what is needed inside input.txt will be mentioned with every feature):

pmc: SQ_WAVES GRBM_COUNT GRBM_GUI_ACTIVE SQ_INSTS_VALU

Application Trace Support

Different trace options are available while profiling an app:

• HIP API & asynchronous activity tracing

  rocprofv2 --hip-api <app_relative_path> ## For synchronous HIP API Activity tracing
  rocprofv2 --hip-activity <app_relative_path> ## For both Synchronous & ASynchronous HIP API Activity tracing
  rocprofv2 --hip-trace <app_relative_path> ## Same as --hip-activity, added for backward compatibility
  

• HSA API & asynchronous activity tracing

  rocprofv2 --hsa-api <app_relative_path> ## For synchronous HSA API Activity tracing
  rocprofv2 --hsa-activity <app_relative_path> ## For both Synchronous & ASynchronous HSA API Activity tracing
  rocprofv2 --hsa-trace <app_relative_path> ## Same as --hsa-activity, added for backward compatibility
  

• Kernel dispatches tracing

  rocprofv2 --kernel-trace <app_relative_path> ## Kernel Dispatch Tracing
  

• HIP & HSA API and asynchronous activity and kernel dispatches tracing

  rocprofv2 --sys-trace <app_relative_path> ## Same as combining --hip-trace & --hsa-trace & --kernel-trace
  

• For complete usage options, please run rocprofv2 help

  rocprofv2 --help
  

Plugin Support

We have a template for adding new plugins. New plugins can be written on top of rocprofv2 to support the desired output format using include/rocprofiler/v2/rocprofiler_plugins.h header file. These plugins are modular in nature and can easily be decoupled from the code based on need. Installation files:

rocprofiler-plugins_2.0.0-local_amd64.deb
rocprofiler-plugins-2.0.0-local.x86_64.rpm

• File plugin: outputs the data in txt files. Usage:

  rocprofv2 --plugin file -i samples/input.txt -d output_dir <app_relative_path> # -d is optional, but can be used to define the directory output for output results
  

• Perfetto plugin: outputs the data in protobuf format. Protobuf files can be viewed using ui.perfetto.dev or using trace_processor. Usage:

  rocprofv2 --plugin perfetto --hsa-trace -d output_dir <app_relative_path> # -d is optional, but can be used to define the directory output for output results
  

• CTF plugin: Outputs the data in ctf format(a binary trace format). CTF binary output can be viewed using TraceCompass or babeltrace. Usage:

  rocprofv2 --plugin ctf --hip-trace -d output_dir <app_relative_path> # -d is optional, but can be used to define the directory output for output results
  

• ATT (Advanced thread tracer) plugin: advanced hardware traces data in binary format. Please refer ATT section. Tool used to collect fine-grained hardware metrics. Provides ISA-level instruction hotspot analysis via hardware tracing.

  • Install plugin package. See Plugin Support section for installation

  • Run the following to view the trace. Att-specific options must come right after the assembly file

    rocprofv2 -i input.txt --plugin att <app_assembly_file> --mode network <app_relative_path>
    

  • app_assembly_file: On ROCm 6.0, ATT enables automatic capture of the ISA during kernel execution, and does not require recompiling. It is recommeneded to leave at "auto".

  • app_relative_path Path for the running application

  • ATT plugin optional parameters

    • --depth [n]: How many waves per slot to parse (maximum).
    • --mpi [proc]: Parse with this many mpi processes, for greater analysis speed. Does not change results. Requires mpi4py.
    • --att_kernel "filename": Kernel filename to use (instead of ATT asking which one to use).
    • --trace_file "files": glob (wildcards allowed) of traces files to parse. Requires quotes for use with wildcards.
    • --mode [network, file, csv, off (default)]
      • network Opens the server with the browser UI. att needs 2 ports available (e.g. 8000, 18000). There is an option (default: --ports "8000,18000") to change these. In case rocprofv2 is running on a different machine, use port forwarding ssh -L 8000:localhost:8000 <user@IP> so the browser can be used locally. For docker, use --network=host --ipc=host -p8000:8000 -p18000:18000
      • file Dumps the analyzed json files to disk for vieweing at a later time. Run python3 httpserver.py from within the generated ui/ folder to view the trace, similarly to network mode. The folder can be copied to another machine, and will run without rocm.
      • csv Dumps the analyzed assembly into a CSV format, with the hitcount and total cycles cost. Use rocprofv2's -o option to specify output file name (default "att_output.csv").
      • off Runs trace collection but not analysis, so it can be analyzed at a later time. Run rocprofv2 ATT [network, file] with the same parameters, removing the application binary, to analyze previously generated traces.

  • input.txt Required. Used to select specific compute units and other trace parameters. For first time users, we recommend compiling and running vectorAdd with

    att: TARGET_CU=1
    SE_MASK=0x1
    SIMD_MASK=0x3
    

    and histogram with

    att: TARGET_CU=0
    SE_MASK=0xFF
    SIMD_MASK=0xF // 0xF for GFX9, SIMD_MASK=0 for Navi
    

    Possible contents:

    • att: TARGET_CU=1 //or some other CU [0,15] - WGP for Navi [0,8]
    • SE_MASK=0x1 // bitmask of shader engines. The fewer, the easier on the hardware. Default enables 1 out of 4 shader engines.
    • SIMD_MASK=0xF // GFX9: bitmask of SIMDs. Navi: SIMD Index [0-3].
    • DISPATCH=ID,RN // collect trace only for the given dispatch_ID and MPI rank RN. RN ignored for single processes. Multiple lines with varying combinations of RN and ID can be added.
    • KERNEL=kernname // Profile only kernels containing the string kernname (c++ mangled name). Multiple lines can be added.
    • PERFCOUNTERS_COL_PERIOD=0x3 // Multiplier period for counter collection [0~31]. 0=fastest (usually once every 16 cycles). GFX9 only. Counters will be shown in a graph over time in the browser UI.
    • PERFCOUNTER=counter_name // Add a SQ counter to be collected with ATT; period defined by PERFCOUNTERS_COL_PERIOD. GFX9 only.
    • BUFFER_SIZE=[size] // Sets size of the ATT buffer collection, per dispatch, in megabytes (shared among all shader engines).
    • ISA_CAPTURE_MODE=[0,1,2] // Set capture mode during kernel dispatch.
      • 0 = capture symbols only.
      • 1 = capture symbols for file:// and make a copy of memory://
      • 2 = Copy file:// and memory://

  • Example for vectoradd.

    # -g add debugging symbols to the binary. Required only for tracking disassembly back to c++.
    hipcc -g --save-temps vectoradd_hip.cpp -o vectoradd_hip.exe
    # "auto" means to use the automatically captured ISA. "csv" dumps result to "my.csv".
    rocprofv2 -i input.txt -o my.csv --plugin att auto --mode csv ./vectoradd_hip.exe
    

    Instruction latencies will be in my.csv

  • Example with symbolic ISA (as in ROCm 5.7 or previous).

    hipcc -g --save-temps vectoradd_hip.cpp -o vectoradd_hip.exe
    # A custom ISA can be used such as vectoradd_hip-hip-amdgcn-amd-amdhsa-gfx1100.s
    # Special attention to the correct architecture for the ISA, such as "gfx1100" (navi31).
    rocprofv2 -i input.txt --plugin att vectoradd_hip-hip-amdgcn-amd-amdhsa-gfx1100.s --mode network ./vectoradd_hip.exe
    

    Then open the browser at http://localhost:8000

  ---

  Note: For MPI or long running applications, we recommend to run collection, and later run the parser with already collected data: Run only collection: The assembly file is not used. Use mpirun [...] rocprofv2 [...] if needed.

  # Run only data collection, not the parser
  rocprofv2 -i input.txt --plugin att auto --mode off ./vectoradd_hip.exe
  

  Remove the binary/application from the command line.

  # Only runs the parser on previously collected data.
  rocprofv2 -i input.txt --plugin att auto --mode network
  

  ---

Flush Interval

Flush interval can be used to control the interval time in milliseconds between the buffers flush for the tool. However, if the buffers are full the flush will be called on its own. This can be used as in the next example:

rocprofv2 --flush-interval <TIME_INTERVAL_IN_MILLISECONDS> <rest_of_rocprofv2_arguments> <app_relative_path>

Trace Period

Trace period can be used to control when the profiling or tracing is enabled using two arguments, the first one is the delay time, which is the time spent idle without tracing or profiling. The second argument is the profiling or the tracing time, which is the active time where the profiling and tracing are working, so basically, the session will work in the following timeline:

<DELAY_TIME> => <PROFILING_OR_TRACING_SESSION_START> => <ACTIVE_PROFILING_OR_TRACING_TIME> => <PROFILING_OR_TRACING_SESSION_STOP>

This feature can be used using the following command:

rocprofv2 --trace-period <delay>:<active_time>:<interval> <rest_of_rocprofv2_arguments> <app_relative_path>

• delay: Time delay to start profiling (ms).
• active_time: How long to profile for (ms).
• interval: If set, profiling sessions will start (loop) every "interval", and run for "active_time", until the application ends. Must be higher than "active_time".

Device Profiling

A device profiling session allows the user to profile the GPU device for counters irrespective of the running applications on the GPU. This is different from application profiling. device profiling session doesn't care about the host running processes and threads. It directly provides low level profiling information.

Session Support

A session is a unique identifier for a profiling/tracing/pc-sampling task. A ROCProfilerV2 Session has enough information about what needs to be collected or traced and it allows the user to start/stop profiling/tracing whenever required. More details on the API can be found in the API specification documentation that can be installed using rocprofiler-doc package. Samples also can be found for how to use the API in samples directory.

• (ATT) Advanced Thread Trace

  Tool used to collect fine-grained hardware metrics. Provides ISA-level instruction hotspot analysis via hardware tracing.

  # ATT(Advanced Thread Trace) needs some preparation before running.
  
  # 1. Make sure to generate the assembly file for application by executing the following before compiling your HIP Application
  # This can be achieved globally by following environment variable
  export HIPCC_COMPILE_FLAGS_APPEND="--save-temps -g"
  # Similarly, the --save-temps -g flags can be added per file for better ISA generation control.
  
  # 2. Install plugin package
  # see Plugin Support section for installation
  
  # 3. Run the following to view the trace
  # Att-specific options must come right after the assembly file
  rocprofv2 -i input.txt --plugin att <app_assembly_file> --mode network <app_relative_path>
  

  # Example for vectoradd on navi31.
  # Special attention to gfx1100.s==navi31 in the ISA file name.
  # Use gfx1030 for navi21, gfx90a for MI200 and gfx940 for MI300
  hipcc -g --save-temps vectoradd_hip.cpp -o vectoradd_hip.exe
  rocprofv2 -i input.txt --plugin att vectoradd_hip-hip-amdgcn-amd-amdhsa-gfx1100.s --mode network ./vectoradd_hip.exe
  # Then open the browser at http://localhost:8000
  # The ISA can also be obtained from llvm/roc objdump, however, annotations will be different
  

  For MPI or very long applications, we recommend to run collection, and later run the parser with already collected data:

  # Run only collection: The assembly file is not used. Use mpirun [...] rocprofv2 [...] if needed.
  rocprofv2 -i input.txt --plugin att none ./vectoradd_hip.exe
  # Remove the binary/application: Only runs the parser.
  rocprofv2 -i input.txt --plugin att vectoradd_hip-hip-amdgcn-amd-amdhsa-gfx1100.s --mode network
  

• app_assembly_file_relative_path

  AMDGCN ISA file with .s extension generated in 1st step

• app_relative_path

  Path for the running application

• ATT plugin optional parameters

  • --depth [n]: How many waves per slot to parse (maximum).
  • --mpi [proc]: Parse with this many mpi processes, for greater analysis speed. Does not change results. Requires mpi4py.
  • --att_kernel "filename": Kernel filename to use (instead of ATT asking which one to use).
  • --trace_file "files": glob (wildcards allowed) of traces files to parse. Requires quotes for use with wildcards.
  • --mode [network, file, off (default)]

• network

  Opens the server with the browser UI. att needs 2 ports available (e.g. 8000, 18000). There is an option (default: --ports "8000,18000") to change these. In case rocprofv2 is running on a different machine, use port forwarding "ssh -L 8000:localhost:8000 user@IP" so the browser can be used locally. For docker, use --network=host --ipc=host -p8000:8000 -p18000:18000

• file

  Dumps the analyzed json files to disk for vieweing at a later time. Run python3 httpserver.py from within the generated ui/ folder to view the trace, similarly to network mode. The folder can be copied to another machine, and will run without rocm.

• off

  Runs trace collection but not analysis, so it can be analyzed at a later time. Run rocprofv2 ATT [network, file] with the same parameters, removing the application binary, to analyze previously generated traces. We recommend not setting the mode when collecting for MPI applications.

• input.txt

  Required. Used to select specific compute units and other trace parameters. For first time users, we recommend compiling and running vectorAdd with

  att: TARGET_CU=1
  SE_MASK=0x1
  SIMD_MASK=0x3
  

  and histogram with

  att: TARGET_CU=0
  SE_MASK=0xFF
  SIMD_MASK=0xF // 0xF for GFX9, SIMD_MASK=0 for Navi
  

  Possible contents:

  • att: TARGET_CU=1 //or some other CU [0,15] - WGP for Navi [0,8]
  • SE_MASK=0x1 // bitmask of shader engines. The fewer, the easier on the hardware. Default enables 1 out of 4 shader engines.
  • SIMD_MASK=0xF // GFX9: bitmask of SIMDs. Navi: SIMD Index [0-3].
  • DISPATCH=ID,RN // collect trace only for the given dispatch_ID and MPI rank RN. RN is optional and ignored for single processes. Multiple lines with varying combinations of RN and ID can be added.
  • KERNEL=kernname // Profile only kernels containing the string kernname (c++ mangled name). Multiple lines can be added.
  • PERFCOUNTERS_COL_PERIOD=0x3 // Multiplier period for counter collection [0~31]. 0=fastest (usually once every 16 cycles). GFX9 only. Counters will be shown in a graph over time in the browser UI.
  • PERFCOUNTER=counter_name // Add a SQ counter to be collected with ATT; period defined by PERFCOUNTERS_COL_PERIOD. GFX9 only.
  • BUFFER_SIZE=[size] // Sets size of the ATT buffer collection, per dispatch, in megabytes (shared among all shader engines).

Tests

We make use of the GoogleTest (Gtest) framework to automatically find and add test cases to the CMAKE testing environment. ROCProfilerV2 testing is categorized as following:

• unittests (Gtest Based) : These includes tests for core classes. Any newly added functionality should have a unit test written to it.

• featuretests (standalone and Gtest Based): These includes both API tests and tool tests. Tool is tested against different applications to make sure we have right output in evry run.

• memorytests (standalone): This includes running address sanitizer for memory leaks, corruptions.

installation: rocprofiler-tests_9.0.0-local_amd64.deb rocprofiler-tests-9.0.0-local.x86_64.rpm

List and Run tests

Run unit tests on the commandline

./build/tests/unittests/runUnitTests

Run profilerfeaturetests on the commandline

./build/tests/featuretests/profiler/runFeatureTests

Run tracer featuretests on the commandline

./build/tests/featuretests/tracer/runTracerFeatureTests

Run all tests

rocprofv2 -t

OR

ctest

Guidelines for adding new tests

• Prefer to enhance an existing test as opposed to writing a new one. Tests have overhead to start and many small tests spend precious test time on startup and initialization issues.
• Make the test run standalone without requirement for command-line arguments. This makes it easier to debug since the name of the test is shown in the test report and if you know the name of the test you can the run the test.

Logging

To enable error messages logging to '/tmp/rocprofiler_log.txt':

export ROCPROFILER_LOG=1

Documentation

We make use of doxygen to automatically generate API documentation. Generated document can be found in the following path:

ROCM_PATH by default is /opt/rocm It can be set by the user in different location if needed. <ROCM_PATH>/share/doc/rocprofv2

installation:

rocprofiler-docs_9.0.0-local_amd64.deb
rocprofiler-docs-9.0.0-local.x86_64.rpm

Samples

• Profiling: Profiling Samples depending on replay mode
• Tracing: Tracing Samples

installation:

rocprofiler-samples_9.0.0-local_amd64.deb
rocprofiler-samples-9.0.0-local.x86_64.rpm

usage:

samples can be run as independent executables once installed

Project Structure

• bin: ROCProf scripts along with V1 post processing scripts
• doc: Documentation settings for doxygen, V1 API Specifications pdf document.
• include:
  • rocprofiler.h: V1 API Header File
  • v2:
    • rocprofiler.h: V2 API Header File
    • rocprofiler_plugin.h: V2 Tool Plugins API
• plugin
  • file: File Plugin
  • perfetto: Perfetto Plugin
  • att: Adavced thread tracer Plugin
  • ctf: CTF Plugin
• samples: Samples of how to use the API, and also input.txt input file samples for counter collection and ATT.
• script: Scripts needed for tracing
• src: Source files of the project
  • api: API implementation for rocprofv2
  • core: Core source files needed for the V1/V2 API
    • counters: Basic and Derived Counters
    • hardware: Hardware support
    • hsa: Provides support for profiler and tracer to communicate with HSA
      • queues: Intercepting HSA Queues
      • packets: Packets Preparation for profiling
    • memory: Memory Pool used in buffers that saves the output data
    • session: Session Logic
      • filter: Type of profiling or tracing and its properties
      • tracer: Tracing support of the session
      • profiler: Profiling support of the session
      • spm: SPM support of the session
      • att: ATT support of the session
  • tools: Tools needed to run profiling and tracing
    • rocsys: Controlling Session from another CLI
  • utils: Utilities needed by the project
• tests: Tests folder
• CMakeLists.txt: Handles cmake list for the whole project
• build.sh: To easily build and compile rocprofiler
• CHANGELOG.md: Changes that are happening per release

Support

Please report in the Github Issues.

Limitations

• Navi3x requires a stable power state for counter collection. Currently, this state needs to be set by the user. To do so, set "power_dpm_force_performance_level" to be writeable for non-root users, then set performance level to profile_standard:

  sudo chmod 777 /sys/class/drm/card0/device/power_dpm_force_performance_level
  echo profile_standard >> /sys/class/drm/card0/device/power_dpm_force_performance_level
  

  Recommended: "profile_standard" for counter collection and "auto" for all other profiling. Use rocm-smi to verify the current power state. For multiGPU systems (includes integrated graphics), replace "card0" by the desired card.

Supported AMD GPU Architectures (V2)

The following AMD GPU architectures are supported with ROCprofiler V2:

• gfx900 (AMD Vega 10)
• gfx906 (AMD Vega 7nm also referred to as AMD Vega 20)
• gfx908 (AMD Instinct™ MI100 accelerator)
• gfx90a (AMD Instinct™ MI200)
• gfx94x (AMD Instinct™ MI300)
• gfx10xx ([Navi2x] AMD Radeon(TM) Graphics)
• gfx11xx ([Navi3x] AMD Radeon(TM) Graphics)