icecream
ccache
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icecream | ccache | |
---|---|---|
16 | 28 | |
1,552 | 2,157 | |
1.5% | 2.0% | |
0.0 | 9.4 | |
5 months ago | 10 days ago | |
C++ | C++ | |
GNU General Public License v3.0 only | 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.
icecream
- Icecream: Distributed compiler with a central scheduler to share build load
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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.
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Do you use ccache to speed up compilation times
Of course! The github readme provides a lot of info - https://github.com/icecc/icecream
- GitHub - icecc/icecream: Distributed compiler with a central scheduler to share build load
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Ccache – a fast C/C++ compiler cache
If you like distcc, did you ever give icecc a try?
https://github.com/icecc/icecream
I never had the time to set it up properly, but by the looks of it, it should be even better.
- People who use distributed builds, how do you handle many compilers?
- Fuchsia Workstation
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Give local devices a way to connect to clients? - openvpn
I would like to have a icecc setup I can vpn into. It seems that with normal configs the clients can talk to the scheduler, but the scheduler cant connect to the clients as it tries to connect to the device running the openvpn server not the one behind it. How could I make my openvpn clients appear almost as physical devices on the network, with unique IP's that local devices can connect to; or if that is unnecessary how could I solve this?
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ccache 4.6 released
Glad to see a new release on this! I've read worrying news about the state of icecc, and the followup uncertain news on sccache, so I hope at least some part of the tooling is in a good shape.
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Best way to manage dependencies with c++?
I always wanted to try to use cmake-conan so I could let Conan grab all packages but have a neat cmake script being in charge of what gets built when. Also, this would allow me to easily switch between CMake fetchcontent and Conan packages that may or may not be stashed automatically on a local Artifactory server. Secondly, since now all build requirements are stashed on a server and binary reproducible, you could concider adding icecream and ccache into the mix. (Try running a node one of your buildservers for massive speadups with icecream) This however does require a reproducible build environment (by configure script) which conan again is really good in.
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?
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.
keppel - Regionally federated multi-tenant container image registry
buildcache - A build cache
compiler-benchmark - Benchmarks compilation speeds of different combinations of languages and compilers.
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.
gg - The Stanford Builder
linux-tkg - linux-tkg custom kernels
cmake-init-conan-example - cmake-init generated executable project with Conan integration
setup-gcc - GitHub action to set up GCC
bazelisk - A user-friendly launcher for Bazel.
gcovr - generate code coverage reports with gcc/gcov