154 lines
4.7 KiB
Markdown
154 lines
4.7 KiB
Markdown
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# cppuprofile
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[](https://orange-opensource.github.io/cppuprofile/)
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This project provides a tiny C++ profiling library for monitoring:
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* execution time
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* CPU usage
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* memory usage
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* GPU usage and memory
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This library aims at collecting metrics on embedded devices to monitor device
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performance while operating heavy tasks or booting for example. Those metrics can
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be useful to check that load is properly spread onto all CPU cores or
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that memory is not starved.
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This library can also run on non-embedded devices like servers or desktop PCs. It is
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compatible with Linux and Windows.
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Metrics are stored in a CSV file (the path is configurable).
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## Usage
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The library is lightweight, simple and easy to use. It can be easily used from an existing application or integrated in a dedicated monitoring application.
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Full API documentation is available [here](https://orange-opensource.github.io/cppuprofile/).
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### System memory and CPU usage monitoring
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```cpp
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#include <uprofile/uprofile.h>
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...
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uprofile::start("uprofile.log");
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uprofile::startSystemMemoryMonitoring(200);
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uprofile::startCPUUsageMonitoring(200);
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...
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uprofile::stop();
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```
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### Record time execution
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```cpp
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uprofile::timeBegin("my_custom_function");
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...
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uprofile::timeEnd("my_custom_function");
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```
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### GPU monitoring
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The library also supports GPU metrics monitoring like usage and memory. Since GPU monitoring is specific to each vendor, an interface `IGPUMonitor` is available to abstract each vendor monitor system.
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To monitor a specific GPU, you must subclass `IGPUMonitor`:
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```cpp
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#include <uprofile/igpumonitor.h>
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class MyGPUMonitor: public uprofile::IGPUMonitor {
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public:
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float getUsage() override;
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void getMemory(int& usedMem, int& totalMem) override;
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}
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```
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And then inject it at runtime to the `uprofile` monitoring system:
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```cpp
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uprofile::addGPUMonitor(new MyGPUMonitor);
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uprofile::start("uprofile.log");
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uprofile::startGPUMemoryMonitoring(200);
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uprofile::startGPUUsageMonitoring(200);
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```
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#### Supported GPU monitoring
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Here is the list of GPUs supported by `cppuprofile`
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* NVidia Graphics Cards (through `nvidia-smi`). Pass `-DGPU_MONITOR_NVIDIA=ON` as compile option and inject `uprofile::NvidiaMonitor` from `monitors/nvidiamonitor.h` as `GPUMonitor`. The `nvidia-smi` tool should be installed into `/usr/bin` directory.
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## Build
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The build process is based on CMake. Minimum version is 2.8.
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```commandline
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$ cmake --configure . -B ../build-cppuprofile
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$ cmake --build ../build-cppuprofile
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```
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### Shared/dynamic library
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By default, it generates a shared library on Linux and a dynamic library (DLL) on Windows. To link with this library on Windows, you must
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pass `-DUPROFILE_DLL` definition to CMake.
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### Static library
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If you want to generate a static library, you must use `-DBUILD_SHARED_LIBS=OFF` CMake option.
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### Disable profiling in Release mode
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If you want to disable profiling in Release mode or if you want to only enable profiling in particular cases, you can use the `PROFILE_ENABLED` option (set to `ON` by default).
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To disable the profiling:
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```commandline
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$ cmake --configure . -B ../build-cppuprofile -DPROFILE_ENABLED=OFF
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```
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## Tools
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The project also brings a tool for displaying the different metrics in
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a single view:
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This tool is written in Python3. It requires a set of dependency packages. To install them:
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```commandline
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$ pip3 install -r requirements.txt
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```
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Then
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```commandline
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$ ./tools/show-graph uprofile.log
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```
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Note that you can filter the metrics to display with `--metric` argument.
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## Sample
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The project provides a C++ sample application called `uprof-sample`
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that shows how to use the `cppuprofile` library. You can build it with `SAMPLE_ENABLED` option:
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```commandline
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$ cmake --configure . -B ../build-cppuprofile -DSAMPLE_ENABLED=ON
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$ cmake --build ../build-cppuprofile
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$ ../build-cppuprofile/sample/uprof-sample
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```
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## Windows support limitations
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The library compiles on Windows but only time execution is supported so far. Monitoring metrics like CPU Usage and system, process and nvidia GPU memory are not supported.
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Contributions are welcomed.
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## License
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This project is licensed under BSD-3-Clause license. See LICENSE file for any further information.
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