Each platform supports multiple build targets
- Debug - Debug version of the library, turns on asserts
- Release - Release version of the library, no asserts but includes profiling support and can draw the world and simulation properties
- ReleaseASAN - As Release but turns on Address Sanitizer (clang only) to find bugs
- ReleaseUBSAN - As Release but turns on Undefined Behavior Sanitizer (clang only) to find bugs
- ReleaseCoverage - As Release but turns on Coverage reporting (clang only) to find which areas of the code are not executed
- Distribution - Shippable version of the library, turns off all debugging support
The Jolt headers don't include Jolt/Jolt.h. Always include Jolt/Jolt.h before including any other Jolt header. You can use Jolt/Jolt.h in your precompiled header to speed up compilation.
There are a number of user configurable defines that turn on/off certain features:
- JPH_PROFILE_ENABLED - Turns on the internal profiler.
- JPH_EXTERNAL_PROFILE - Turns on the internal profiler but forwards the information to a user defined external system (see Profiler.h).
- JPH_DEBUG_RENDERER - Adds support to draw lines and triangles, used to be able to debug draw the state of the world.
- JPH_DISABLE_TEMP_ALLOCATOR - Disables the temporary memory allocator, used mainly to allow ASAN to do its job.
- JPH_DISABLE_CUSTOM_ALLOCATOR - Disables the ability to override the memory allocator.
- JPH_FLOATING_POINT_EXCEPTIONS_ENABLED - Turns on division by zero and invalid floating point exception support in order to detect bugs (Windows only).
- JPH_CROSS_PLATFORM_DETERMINISTIC - Turns on behavior to attempt cross platform determinism. If this is set, JPH_USE_FMADD is ignored.
- JPH_DOUBLE_PRECISION - Compiles the library so that all positions are stored in doubles instead of floats. This makes larger worlds possible.
- JPH_USE_SSE4_1 - Enable SSE4.1 CPU instructions (x86/x64 only)
- JPH_USE_SSE4_2 - Enable SSE4.2 CPU instructions (x86/x64 only)
- JPH_USE_F16C - Enable half float CPU instructions (x86/x64 only)
- JPH_USE_LZCNT - Enable the lzcnt CPU instruction (x86/x64 only)
- JPH_USE_TZCNT - Enable the tzcnt CPU instruction (x86/x64 only)
- JPH_USE_AVX - Enable AVX CPU instructions (x86/x64 only)
- JPH_USE_AVX2 - Enable AVX2 CPU instructions (x86/x64 only)
- JPH_USE_AVX512 - Enable AVX512F+AVX512VL CPU instructions (x86/x64 only)
- JPH_USE_FMADD - Enable fused multiply add CPU instructions (x86/x64 only)
To override the default trace and assert mechanism install your own custom handlers in Trace and AssertFailed (see IssueReporting.h).
To implement your custom memory allocator override Allocate, Free, AlignedAllocate and AlignedFree (see Memory.h).
- Download Visual Studio 2022 (Community or other edition)
- Download CMake 3.15+ (https://cmake.org/download/)
- Run cmake_vs2022_cl.bat
- Open the resulting project file VS2022_CL\JoltPhysics.sln
- Compile and run either 'Samples' or 'UnitTests'
- Download Visual Studio 2022 (Community or other edition)
- Download CMake 3.15+ (https://cmake.org/download/)
- Run cmake_vs2022_cl_32bit.bat
- Open the resulting project file VS2022_CL_32BIT\JoltPhysics.sln
- Compile and run either 'Samples' or 'UnitTests'
- Download Visual Studio 2022 (Community or other edition)
- Make sure to install "C++ Clang Compiler for Windows 11.0.0+" and "C++ Clang-cl for v142+ build tools (x64/x86)" using the Visual Studio Installer
- Download CMake 3.15+ (https://cmake.org/download/)
- Run cmake_vs2022_clang.bat
- Open the resulting project file VS2022_Clang\JoltPhysics.sln
- Compile and run either 'Samples' or 'UnitTests'
- Download Visual Studio 2022+ (Community or other edition)
- Make sure to install "Universal Windows Platform development" using the Visual Studio Installer
- Download CMake 3.15+ (https://cmake.org/download/)
- Run cmake_vs2022_uwp.bat
- Open the resulting project file VS2022_UWP\JoltPhysics.sln
- Compile and run 'UnitTests'
- Follow download instructions for MSYS2 (https://www.msys2.org/)
- From the MSYS2 MSYS app run: pacman -S --needed mingw-w64-x86_64-toolchain mingw-w64-x86_64-cmake
- From the MSYS2 MINGW x64 app, in the Build folder run: ./cmake_windows_mingw.sh
- Run: cmake --build MinGW_Debug
- Run: MinGW_Debug/UnitTests.exe
- Install clang (apt-get install clang)
- Install cmake (apt-get install cmake)
- Run: ./cmake_linux_clang_gcc.sh
- Go to the Linux_Debug folder
- Run: make -j$(nproc) && ./UnitTests
- This setup can be used to run samples on Linux using wine and vkd3d. Tested on Ubuntu 22.04
- Graphics card must support Vulkan and related drivers must be installed
- Install mingw-w64 (apt-get install mingw-w64)
- Run: update-alternatives --config x86_64-w64-mingw32-g++ (Select /usr/bin/x86_64-w64-mingw32-g++-posix)
- Install cmake (apt-get install cmake)
- Install wine64 (apt-get install wine64)
- Run: export WINEPATH="/usr/x86_64-w64-mingw32/lib;/usr/lib/gcc/x86_64-w64-mingw32/10-posix" (change it based on your environment)
- Run: ./cmake_linux_mingw.sh Release (Debug doesn't work)
- Go to the MinGW_Release folder
- Run: make -j$(nproc) && wine UnitTests.exe
- Run: wine Samples.exe
- Install Android Studio 2020.3.1+ (https://developer.android.com/studio/)
- Open the 'Android' folder in Android Studio and wait until gradle finishes
- Select 'Run' / 'Run...' and 'UnitTests'
- If the screen turns green after a while the unit tests succeeded, when red they failed (see the android log for details)
- Install XCode
- Download CMake 3.23+ (https://cmake.org/download/)
- Run: ./cmake_xcode_macos.sh
- This will open XCode with a newly generated project
- Build and run the project
Note that you can also follow the steps in the 'Linux' section if you wish to build without XCode.
- Install XCode
- Download CMake 3.23+ (https://cmake.org/download/)
- Run: ./cmake_xcode.ios.sh
- This will open XCode with a newly generated project
- Build and run the project (note that this will only work in the simulator as the code signing information is not set up)
- A vcpkg package is available here.
- A xmake package is available here.
- Jolt has been verified to build with ninja through CMake.
If you receive the following error when linking:
/usr/bin/ld: libJolt.a: error adding symbols: file format not recognized
Then you have not enabled interprocedural optimizations (link time optimizations) for your own application. See the INTERPROCEDURAL_OPTIMIZATION option in CMakeLists.txt.
Documentation can be generated through doxygen:
- Install Doxygen (https://www.doxygen.nl/download.html)
- Run: run_doxygen.bat