quasi-msys2
ccache
quasi-msys2 | ccache | |
---|---|---|
2 | 28 | |
82 | 2,164 | |
- | 0.9% | |
6.4 | 9.4 | |
8 days ago | 7 days ago | |
Makefile | C++ | |
zlib License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
quasi-msys2
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mingw-w64 version 12.2
Check out quasi-msys2. It can pull a Windows version of MinGW from MSYS2 repos, and then run it with Wine:
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Linux-to-Windows cross-compilation using MSYS2 packages
So I made quasi-msys2: a collection of scripts to download those packages and to set up a cross-compilation environment.
ccache
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Deep Learning with “AWS Graviton2 + NVIDIA Tensor T4G” for as low as free* with CUDA 12.2
# Download and install ccache for faster compilation wget https://github.com/ccache/ccache/releases/download/v4.8.3/ccache-4.8.3.tar.xz tar -xf ccache-4.8.3.tar.xz pushd ccache-4.8.3 cmake . make -j $CPUS make install popd # Install NumPy, a dependency for PyTorch dnf install -y numpy # Install Python typing extensions for better type-checking sudo -u ec2-user pip3 install typing-extensions # Clone PyTorch repository and install from source git clone --recursive https://github.com/pytorch/pytorch.git pushd pytorch python3 setup.py install popd # Refresh the dynamic linker run-time bindings ldconfig # Install additional Python libraries for PyTorch sudo -u ec2-user pip3 install sympy filelock fsspec networkx
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This isn’t the way to speed up Rust compile times
> What can I use to cache with MSVC that isn't Incredibuild?
Ccache works, but if you use the Visual Studio C++ compiler you need to configure your build to be cacheable.
https://github.com/ccache/ccache/wiki/MS-Visual-Studio
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Flutter or React Native
That ecosystem now is too young. All these things must be configured by an automatic installer. Packages and pods need to be tested before release, etc. Previous was 80 min compilation time of the Firestore package. Solved with https://ccache.dev/. But why Dart developers must know, how to install and configure object cache for C++ compilers?
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Distcc: A fast, free distributed C/C++ compiler
Related
https://github.com/icecc/icecream - another option that does what distcc does, but aimed at a somewhat different use case.
https://ccache.dev/ - a similar idea but provides caching of build outputs instead of distributing builds. You can use it together with distcc to achieve even better performance.
- Debugging the QtCreator
- How to avoid compiling whole C++ project every time using Github actions?
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Boring Python: Code Quality
> All those big changes introduce commits that make git bisect generally slower.
Bisection search is log2(n) so doubling the number of commits should only add one more bisection step, yes?
> Which might be awful if you also have some C code to recompile at every step of bisecting.
That reminds me, I've got to try out ccache (https://ccache.dev/ ) for my project. My full compile is one minute, but the three files that take longest to compiler rarely change.
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Ccache – a fast C/C++ compiler cache
I worked with the internals of this some 16 years ago, maintaining a customized version at Zeugma Systems. Some change of mine was reworked by someone and upstreamed:
https://github.com/ccache/ccache/commit/e8354384f67bc733bea5...
What are some alternatives?
mxe - MXE (M cross environment)
sccache - Sccache is a ccache-like tool. It is used as a compiler wrapper and avoids compilation when possible. Sccache has the capability to utilize caching in remote storage environments, including various cloud storage options, or alternatively, in local storage.
gcovr - generate code coverage reports with gcc/gcov
buildcache - A build cache
xcross - "Zero Setup" cross-compilation for C/C++. Supports numerous architectures, build systems, C standard libraries, vcpkg, and Conan.
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
c - Compile and execute C "scripts" in one go!
linux-tkg - linux-tkg custom kernels
icecream - Distributed compiler with a central scheduler to share build load
setup-gcc - GitHub action to set up GCC
Gource - software version control visualization