Programming-Language-Benchmark
Graal
Programming-Language-Benchmark | Graal | |
---|---|---|
5 | 156 | |
- | 19,807 | |
- | 0.5% | |
- | 10.0 | |
- | 2 days ago | |
Java | ||
- | 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.
Programming-Language-Benchmark
- Rust vs Zig Benchmarks
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Ask HN: What are some of the most elegant codebases in your favorite language?
I found Zig implementation of json parsing is interesting. The code is free from hidden control flow !.
https://github.com/hanabi1224/Programming-Language-Benchmark...
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Nim vs Rust Benchmarks
It appears helloworld is the only test with any repeats, and it only has 5 repeats. https://github.com/hanabi1224/Programming-Language-Benchmark...
Here's the measurement code, it appears to be significantly more complicated than a simple fork/exec/wait loop but that could just be all the C# getting in the way: https://github.com/hanabi1224/Programming-Language-Benchmark... Nevertheless you are probably right that the bulk of this 1.8ms is in the executable under test, and it truly is just bloat. Running `hyperfine ./empty-main-function` from rustc on my Mac gives 0.8ms.
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Which programming language or compiler is faster
Is faster... on code that has been optimized to hell and back 5 times over and no longer resembles anything like normal code written in the language.
Seriously, this is the code for the top program. I'm reasonably sure 99% of C++ programmers could not decipher it without spending significant amounts of time on google: https://github.com/hanabi1224/Programming-Language-Benchmark...
I appreciate that fair benchmarks across languages are a hard problem, but this is not a good solution to it. Any reference to this data as a comparison between "programming languages and compilers" needs to come with a giant disclaimer that it's comparing them at something you almost certainly don't use them for, and is very far from their main use case.
I also appreciate that this is a repetitive comment the likes of which always come up when this benchmark is mentioned... but I really don't see another way to avoid people misinterpreting it. Very few people are going to spontaneously click through to the code.
Graal
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Java 23: The New Features Are Officially Announced
Contrary to what vocal Kotlin advocates might believe, Kotlin only matters on Android, and that is thanks to Google pushing it no matter what.
https://spectrum.ieee.org/the-top-programming-languages-2023
https://snyk.io/reports/jvm-ecosystem-report-2021/
And even so, they had to conceed Android and Kotlin on their own, without the Java ecosystem aren't really much useful, thus ART is now updatable via Play Store, and currently supports OpenJDK 17 LTS on Android 12 and later devices.
As for your question regarding numbers, mostly Java 74.6%, C++ 13.7%, on the OpenJDK, other JVM implementations differ, e.g. GraalVM is mostly Java 91.8%, C 3.6%.
https://github.com/openjdk/jdk
https://github.com/oracle/graal
Two examples from many others, https://en.wikipedia.org/wiki/List_of_Java_virtual_machines
- FLaNK Stack 05 Feb 2024
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Apple releases Pkl – onfiguration as code language
Pkl was built using the GraalVM Truffle framework. So it supports runtime compilation using Futurama Projections. We have been working with Apple on this for a while, and I am quite happy that we can finally read the sources!
https://github.com/oracle/graal/tree/master/truffle
Disclaimer: graalvm dev here.
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Live Objects All the Way Down: Removing the Barriers Between Apps and VMs
That's pretty interesting. It's not as aggressive as Bee sounds, but the Espresso JVM is somewhat similar in concept. It's a full blown JVM written in Java with all the mod cons, which can either be compiled ahead of time down to memory-efficient native code giving something similar to a JVM written in C++, or run itself as a Java application on top of another JVM. In the latter mode it obviously doesn't achieve top-tier performance, but the advantage is you can easily hack on it using all the regular Java tools, including hotswapping using the debugger.
When run like this, the bytecode interpreter, runtime system and JIT compiler are all regular Java that can be debugged, edited, explored in the IDE, recompiled quickly and so on. Only the GC is provided by the host system. If you compile it to native code, the GC is also written in Java (with some special conventions to allow for convenient direct memory access).
What's most interesting is that Espresso isn't a direct translation of what a classical C++ VM would look like. It's built on the Truffle framework, so the code is extremely high level compared to traditional VM code. Details like how exactly transitions between the interpreter/compiled code happen, how you communicate pointer maps to the GC and so on are all abstracted away. You don't even have to invoke the JIT compiler manually, that's done for you too. The only code Espresso really needs is that which defines the semantics of the Java bytecode language and associated tools like the JDWP debugger protocol.
https://github.com/oracle/graal/tree/master/espresso
This design makes it easy to experiment with new VM features that would be too difficult or expensive to implement otherwise. For example it implements full hotswap capability that lets you arbitrarily redefine code and data on the fly. Espresso can also fully self-host recursively without limit, meaning you can achieve something like what's described in the paper by running Espresso on top of Espresso.
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Crash report and loading time
I'm also using GraalVM if that's of any help.
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Quarkus 3.4 - Container-first Java Stack: Install with OpenJDK 21 and Create REST API
Quarkus is one of Java frameworks for microservices development and cloud-native deployment. It is developed as container-first stack and working with GraalVM and HotSpot virtual machines (VM).
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Level-up your Java Debugging Skills with on-demand Debugging
Apologies, I didn't mean to imply DCEVM went poof, just that I was sad it didn't make it into OpenJDK so one need not do JDK silliness between the production one and the "debugging one" since my experience is that's an absolutely stellar way to produce Heisenbugs
And I'll be straight: Graal scares me 'cause Oracle but I just checked and it looks to the casual observer that it's straight-up GPLv2 now so maybe my fears need revisiting: https://github.com/oracle/graal/blob/vm-23.1.0/LICENSE
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Rust vs Go: A Hands-On Comparison
> to be compiled to a single executable is a strength that Java does not have
I think this is very outdated claim: https://www.graalvm.org/
- Leveraging Rust in our high-performance Java database
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Java 21 makes me like Java again
https://github.com/oracle/graal/issues/7182
What are some alternatives?
Programming-Language-Benchmarks - Yet another implementation of computer language benchmarks game
Liberica JDK - Free and 100% open source Progressive Java Runtime for modern Javaâ„¢ deployments supported by a leading OpenJDK contributor
rosettaboy - A gameboy emulator in several different languages
Adopt Open JDK - Eclipse Temurinâ„¢ build scripts - common across all releases/versions
awesome-python-typing - Collection of awesome Python types, stubs, plugins, and tools to work with them.
awesome-wasm-runtimes - A list of webassemby runtimes
matrixmultiply - General matrix multiplication of f32 and f64 matrices in Rust. Supports matrices with general strides.
SAP Machine - An OpenJDK release maintained and supported by SAP
cosmopolitan - build-once run-anywhere c library
maven-jpackage-template - Sample project illustrating building nice, small cross-platform JavaFX or Swing desktop apps with native installers while still using the standard Maven dependency system.
weave - A state-of-the-art multithreading runtime: message-passing based, fast, scalable, ultra-low overhead
wasmer - 🚀 The leading Wasm Runtime supporting WASIX, WASI and Emscripten