thirteen-letters
JITWatch
thirteen-letters | JITWatch | |
---|---|---|
2 | 10 | |
3 | 3,016 | |
- | 0.6% | |
7.7 | 6.3 | |
10 months ago | about 1 month ago | |
Common Lisp | Java | |
GNU Affero General Public License v3.0 | 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.
thirteen-letters
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It's 2023, so of course I'm learning Common Lisp
Note that Common Lisp doesn’t require functional programming. Mutation, side effects, etc. are fine. I just write imperative code for the most part.
My code was quick and dirty, so I don’t think anyone will learn anything from it, but it’s here: https://github.com/jaredkrinke/thirteen-letters
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Show HN: Multiplayer Word Scramble in Browser, Using Common Lisp
Thirteen Letters is a web-based, competitive word scramble game I made for the Lisp Game Jam (Spring 2023) [0].
The gameplay isn't novel, but it's a multiplayer browser game that's written in 100% Common Lisp (cf. the source code [1]). The front end uses Parenscript, Spinneret, and cl-css to translate s-expressions to JavaScript, HTML, and CSS, respectively. The back end is built using the Hunchentoot web server, Hunchensocket for WebSockets, and yason for JSON, running on SBCL.
I'm fairly new to Common Lisp, so I'm not qualified to dispense advice, but I found having a REPL on the live service to be convenient for monitoring activity, toggling settings, and fixing minor bugs on the fly. It's a lot of fun for hobby projects, although I'd be much more cautious with anything important--I definitely broke the live service a few times by not being careful! I posted a more thorough braindump elsewhere [2].
Let me know what you think! I'm happy to answer any questions. I'll play for a while, to hopefully give people a moderately worth opponent :)
[0] https://itch.io/jam/spring-lisp-game-jam-2023/rate/2103016
[1] https://github.com/jaredkrinke/thirteen-letters
[2] https://log.schemescape.com/posts/game-development/lisp-game...
JITWatch
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It's 2023, so of course I'm learning Common Lisp
You can kind of do the same as DISASSEMBLE in Clojure.
There are some helper projects like https://github.com/Bronsa/tools.decompiler, and on the OpenJDK JitWatch (https://github.com/AdoptOpenJDK/jitwatch), other JVMs have similar tools as well.
It isn't as straightforward as in Lisp, but it is nonetheless doable.
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How much is too much? 380+ lines of an AssertionUtil class Or Loggin classes in general.
As you have encapsulated the asserts inside methods, these will be called at runtime with the arguments evaluated (for example, creating that lambda). When assertions are disabled, the C1/C2 may inline the empty method call eventually, but I don't know whether it drops the lambda instantiation as well. You can use JITWatch to see what gets inlined. The general notion though is to not worry too much. Lazy log messages are a common pattern.
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JIT x86 ia32
You can use jitwatch for this. To see the actual assembly code generated you will also need to use a debug build of the jvm.
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SIMD accelerated sorting in Java – how it works and why it was 3x faster
If you use Oracle's own IDE, it will support it out of the box, as it already did on Sun's days.
Then there are other ways depending on which JVM implementation is used.
On OpenJDK's case you can load runtime plugin to do it
https://github.com/AdoptOpenJDK/jitwatch
- Equivalent of cppinsight for kotlin
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Compiler Explorer - Java support
We use https://github.com/AdoptOpenJDK/jitwatch for this.
- How to Read Assembly Language
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Why Zig When There Is Already C++ and Rust?
If you already know any JVM or .NET language, the first step would be to understand the full stack, you don't need C for that.
Many of us were doing systems programming with other languages before C went mainstream.
What you need to learn is computer architecture.
Getting back to JVM or .NET, you can get hold of JIT Watch, VS debug mode or play online in SharpLab.
Get to understand how some code gets translated into MSIL/JVM, and how those bytecodes end up being converted into machine code.
https://github.com/AdoptOpenJDK/jitwatch/wiki/Screenshots
https://sharplab.io/
Languages like F# and C# allow you to leave the high level comfort and also do most of the stuff you would be doing in C.
Or just pick D, which provides the same comfort and goes even further in low level capabilities.
Use them to write a toy compiler, userspace driver, talking to GPIO pins in a PI, manipulating B-Tree data stuctures directly from inodes, a TCP/IP userspace driver.
Not advocating not to learn Zig, do it still, the more languages one learns the better.
Only advocating what might be an easier transition path into learning about systems programming concepts.
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JIT 101
You can enable a lot of debug information about how the compiler decides what to do with your code using feature flags like -XX:+UnlockDiagnosticVMOptions -XX:+PrintInlining. If you want to dive deeper into the world of the Hotspot JIT Compiler, have a look at JITWatch.
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Is Java As Fast As C When It Comes To Stack
In what concerns HotSpot, one way would be JITWatch.
What are some alternatives?
ql-https - HTTPS support for Quicklisp via curl
JMH - "Trust no one, bench everything." - sbt plugin for JMH (Java Microbenchmark Harness)
slyblime - Interactive Lisp IDE with REPL, Inspector, Debugger and more for Sublime Text 4.
SharpLab - .NET language playground
tools.decompiler - A decompiler for clojure, in clojure
Sniffy - Sniffy - interactive profiler, testing and chaos engineering tool for Java
yesod-persistent - A RESTful Haskell web framework built on WAI.
jHiccup - jHiccup is a non-intrusive instrumentation tool that logs and records platform "hiccups" - including the JVM stalls that often happen when Java applications are executed and/or any OS or hardware platform noise that may cause the running application to not be continuously runnable.
CSharpRepl - A command line C# REPL with syntax highlighting – explore the language, libraries and nuget packages interactively.
LatencyUtils - Utilities for latency measurement and reporting
alive - Common Lisp Extension for VSCode
quickperf - QuickPerf is a testing library for Java to quickly evaluate and improve some performance-related properties