compiler-explorer
bubblewrap
compiler-explorer | bubblewrap | |
---|---|---|
191 | 75 | |
15,198 | 3,641 | |
1.5% | 2.1% | |
9.9 | 6.6 | |
about 22 hours ago | 9 days ago | |
TypeScript | C | |
BSD 2-clause "Simplified" 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.
compiler-explorer
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What if null was an Object in Java?
At least on android arm64, looks like a `dmb ishst` is emitted after the constructor, which allows future loads to not need an explicit barrier. Removing `final` from the field causes that barrier to not be emitted.
https://godbolt.org/#g:!((g:!((g:!((h:codeEditor,i:(filename...
- Ask HN: Which books/resources to understand modern Assembler?
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3rd Edition of Programming: Principles and Practice Using C++ by Stroustrup
You said You won't get "extreme performance" from C++ because it is buried under the weight of decades of compatibility hacks.
Now your whole comment is about vector behavior. You haven't talked about what 'decades of compatibility hacks' are holding back performance. Whatever behavior you want from a vector is not a language limitation.
You could write your own vector and be done with it, although I'm still not sure what you mean, since once you reserve capacity a vector still doubles capacity when you overrun it. The reason this is never a performance obstacle is that if you're going to use more memory anyway, you reserve more up front. This is what any normal programmer does and they move on.
Show what you mean here:
https://godbolt.org/
I've never used ISPC. It's somewhat interesting although since it's Intel focused of course it's not actually portable.
I guess now the goal posts are shifting. First it was that "C++ as a language has performance limitations" now it's "rust has a vector that has a function I want and also I want SIMD stuff that doesn't exist. It does exist? not like that!"
Try to stay on track. You said there were "decades of compatibility hacks" holding back C++ performance then you went down a rabbit hole that has nothing to do with supporting that.
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C++ Insights – See your source code with the eyes of a compiler
C++ Insights is available online at https://cppinsights.io/
It is also available at a touch of a button within the most excellent https://godbolt.org/
along side the button that takes your code sample to https://quick-bench.com/
Those sites and https://cppreference.com/ are what I'm using constantly while coding.
I recently discovered https://whitebox.systems/ It's a local app with a $69 one-time charge. And, it only really works with "C With Classes" style functions. But, it looks promising as another productivity boost.
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Ask HN: How can I learn about performance optimization?
[P&H RISC] https://www.google.com/books/edition/_/e8DvDwAAQBAJ
Compiler Explorer by Matt Godbolt [Godbolt] can help better understand what code a compiler generates under different circumstances.
[Godbolt] https://godbolt.org
The official CPU architecture manuals from CPU vendors are surprisingly readable and information-rich. I only read the fragments that I need or that I am interested in and move on. Here is the Intel’s one [Intel]. I use the Combined Volume Set, which is a huge PDF comprising all the ten volumes. It is easier to search in when it’s all in one file. I can open several copies on different pages to make navigation easier.
Intel also has a whole optimization reference manual [Intel] (scroll down, it’s all on the same page). The manual helps understand what exactly the CPU is doing.
[Intel] https://www.intel.com/content/www/us/en/developer/articles/t...
Personally, I believe in automated benchmarks that measure end-to-end what is actually important and notify you when a change impacts performance for the worse.
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Managing mutable data in Elixir with Rust
Let's compile it with https://godbolt.org/, turn on some optimisations and inspect the IR (-O2 -emit-llvm). Copying out the part that corresponds to the while loop:
4:
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Free MIT Course: Performance Engineering of Software Systems
resources were extra useful when building deeper intuitions about GPU performance for ML models at work and in graduate school.
- CMU's "Deep Learning Systems" Course is hosted online and has YouTube lectures online. While not generally relevant to software performance, it is especially useful for engineers interested in building strong fundamentals that will serve them well when taking ML models into production environments: https://dlsyscourse.org/
- Compiler Explorer is a tool that allows you easily input some code in and check how the assembly output maps to the source. I think this is exceptionally useful for beginner/intermediate programmers who are familiar with one compiled high-level language and have not been exposed to reading lots of assembly. It is also great for testing how different compiler flags affect assembly output. Many people used to coding in C and C++ probably know about this, but I still run into people who haven't so I share it whenever performance comes up: https://godbolt.org/
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Verifying Rust Zeroize with Assembly...including portable SIMD
To really understand what's going on here we can look at the compiled assembly code. I'm working on a Mac and can do this using the objdump tool. Compiler Explorer is also a handy tool but doesn't seem to support Arm assembly which is what Rust will use when compiling on Apple Silicon.
- 4B If Statements
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Operator precedence doubt
Play around with it in godbolt if you're really curious: https://godbolt.org/
bubblewrap
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I Use Nix on macOS
Nothing nix specific but you may be interested in https://github.com/containers/bubblewrap
- I reduced the size of my Docker image by 40% – Dockerizing shell scripts
- Exploring Podman: A More Secure Docker Alternative
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Using GitLab Kubernetes Runners to Build Melange Packages
Recently, I came across Chainguard and wrote the article How to build Docker Images with Melange and Apko. As a fervent supporter of Kubernetes and GitLab CI, I was eager to experiment with building images using Melange in this particular setup. GitLab's shared Runners work seamlessly with Bubblewrap, eliminating the need for additional configurations. This post is intended for enthusiasts like myself, interested in hosting their own Kubernetes Runners and leveraging the Kubernetes Runner Type of Melange.
- how strong is the steam (runtime) sandbox for games?
- Server-side sandboxing: Containers and seccomp
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A Study of Malicious Code in PyPI Ecosystem
```
This is basically manually invoking what Flatpak does:
https://github.com/containers/bubblewrap
This is also useful for more than just security. E.G., you can test how your app would behave on a fresh install by masking your user configuration files. I personally also have a tool that uses it to basically bundle all dependencies from an entire Linux distribution in order to make highly portable AppImages— Been meaning to post that, will get around to it eventually maybe.
The flags above should hide your user data (`--tmpfs`), disable network access (`--unshare-all`), hide/virtualize devices and OS state (`--dev` and `--proc`), and make the rest of the root filesystem read-only (`--ro-bind`— Including the insecure X11 socket in `/tmp`, which you might want to expose for GUI apps).
Check them against `bwrap --help`; I might have omitted one or two more things you'd need.
- Bubblewrap – Low-level unprivileged sandboxing tool used by Flatpak
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Firejail: Light, featureful and zero-dependency security sandbox for Linux
While trying to find out more comparison information, found this light on details issue:
https://github.com/containers/bubblewrap/issues/81
It mentions nsjail and minijail.
What are some alternatives?
C++ Format - A modern formatting library
firejail - Linux namespaces and seccomp-bpf sandbox
rust - Empowering everyone to build reliable and efficient software.
flatpak - Linux application sandboxing and distribution framework
format-benchmark - A collection of formatting benchmarks
flathub - Issue tracker and new submissions
papers - ISO/IEC JTC1 SC22 WG21 paper scheduling and management
nsjail - A lightweight process isolation tool that utilizes Linux namespaces, cgroups, rlimits and seccomp-bpf syscall filters, leveraging the Kafel BPF language for enhanced security.
rustc_codegen_gcc - libgccjit AOT codegen for rustc
distrobox - Use any linux distribution inside your terminal. Enable both backward and forward compatibility with software and freedom to use whatever distribution you’re more comfortable with. Mirror available at: https://gitlab.com/89luca89/distrobox
multipass - Multipass orchestrates virtual Ubuntu instances