jmh
F#
jmh | F# | |
---|---|---|
26 | 26 | |
2,025 | 2,199 | |
2.7% | - | |
6.3 | 0.0 | |
3 days ago | over 1 year ago | |
Java | F# | |
GNU General Public License v3.0 only | MIT License |
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jmh
- Experimenting with GC-less (heap-less) Java
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Any library you would like to recommend to others as it helps you a lot? For me, mapstruct is one of them. Hopefully I would hear some other nice libraries I never try.
JMH for benchmarks
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Scala collections benchmark - revisited
I would recommend using JMH instead.
- What are some advantages to Java devs learning assembly?
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Is calling a method with reflection slower than calling a method normally? If so, by how much?
Reflection is probably very roughly between 10 and 1000 times slower. Why don't you measure it yourself using JMH?
- I benchmarked kotlin rust and go. The results will shock you , or not.
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Need help navigating the Java ecosystem (coming from C++)
Aleksey Shipilev is another such leader, whom is especially knowledgeable about the internals of the JVM. His writings are invaluable. He is (was) the lead of the Java microbenchmark framework (JMH} which is how one would write small performance experiments in Java, and learn what really makes a difference or now.
- Are Long better than Integer as keys for a Map?
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Threads vs Coroutines - ParallelMap Performance
In the last episode we implemented a parallelMap operation using streams, raw threads, a threadpool with futures, and coroutines. At first glance the raw threads was quickest, followed by futures, coroutines and then streams. In this, part 56 of an exploration of where a Test Driven Development implementation of the Gilded Rose stock control system might take us in Kotlin, we investigate the performance of the different functions further, in particular digging down into why coroutines seem to be slow and finding a way to speed them up. We also find a way to use a particular ForkJoinPool to run the streams code, making it as fast as the others (bar the raw threads). Frankly we only use very rough benchmarks here, with no statistical testing except 'it looks like'. That's OK for gross differences, but is highly suspect when deciding which of two similarly performant approaches is faster. For that check out JMH and you could watch my video from KotlinConf 2017
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Just another way to run JMH benchmark with Eclipse
A few months ago, we started to use JMH in our project to test and find performance issues. The tool provides multiple modes and profilers, and we found this useful for our purposes.
F#
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old languages compilers
F# F*
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From Script to Scaffold in F#
This year I've been attempting Advent of Code in my favourite programming language, F#. This is a beginner(ish) centered post about making incremental changes from the smallest possible solution to something more robust.
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for newbie , VScode+ionide or VisualStudio
I can recommend polyglot notebooks in vs code, so you can mix different languages.Take a look athttps://fsharp.org/ for some project ideas and frameworks.
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The comeback of the Fediverse and the Old Web
I have many less followers on Mastodon than in the Birdsite (40 vs 341), yet my activity has generated many more interactions than there. Not only that, among the users who decided to interact with me I counted: a co-discoverer of the Laniakea supercluster, one of the lead developers behind F#, the author of many important books on Java & JVM, plus many others. I'm literally a nobody, but this time there was no algorithm relying on relevance and engament metrics to decide what to present to each one of us.
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Chicago and London TDD Styles for Functional Programming
FP devs differ based on language here. Elm, like F#, tends to encourage "a bunch of functions and types in a file". While Elm supports modules, we don't really care where it came from; they're all pure, all deterministic, the compiler tells us if it works.
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Performance of immutable collections in .NET
The builtin fsharp collections actually are just "immutable", not persistent as you mention. (Ref: https://github.com/fsharp/fsharp/blob/master/src/fsharp/FSharp.Core/map.fs. This is just an AVL tree that returns a copy on mutations: https://github.com/fsharp/fsharp/blob/577d06b9ec7192a6adafefd09ade0ed10b13897d/src/fsharp/FSharp.Core/map.fs#L118)
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Coming from Scala
You can dive into .NET ecosystem by trying F#. It's functional-first language so this should be familiar.
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Parsing Lambda Error Logs in ReScript & Python
ReScript code is just like F# or OCAML; it doesn’t have a function parse phase like JavaScript, so we have to define our functions and types first before we can use them. That’s fine, but makes explaining the code backwards (meaning you start at the bottom of the file and work your way up), so we’ll start at our lambda handler and explain each part, regardless of where it’s defined.
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Please put units in names
F# is a JavaScript and .NET language for web, cloud, data-science, apps and more.
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E
Also a programming joke
What are some alternatives?
async-profiler - Sampling CPU and HEAP profiler for Java featuring AsyncGetCallTrace + perf_events [Moved to: https://github.com/async-profiler/async-profiler]
ClojureCLR - A port of Clojure to the CLR, part of the Clojure project
opentelemetry-java-instrumentation - OpenTelemetry auto-instrumentation and instrumentation libraries for Java
Roslyn - The Roslyn .NET compiler provides C# and Visual Basic languages with rich code analysis APIs.
OpenJ9 - Eclipse OpenJ9: A Java Virtual Machine for OpenJDK that's optimized for small footprint, fast start-up, and high throughput. Builds on Eclipse OMR (https://github.com/eclipse/omr) and combines with the Extensions for OpenJDK for OpenJ9 repo.
julia - The Julia Programming Language
async-profiler - Sampling CPU and HEAP profiler for Java featuring AsyncGetCallTrace + perf_events
VisualFSharp - The F# compiler, F# core library, F# language service, and F# tooling integration for Visual Studio
go - The Go programming language
Nemerle - Nemerle language. Main repository.
Arthas - Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas
IronScheme - IronScheme