Petalisp
clojure
Petalisp | clojure | |
---|---|---|
17 | 99 | |
425 | 10,299 | |
- | 0.3% | |
8.5 | 8.2 | |
about 2 months ago | about 18 hours ago | |
Common Lisp | Java | |
GNU Affero General Public License v3.0 | - |
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Petalisp
- Petalisp: Elegant High Performance Computing
- Is there a tutorial for automatic differentiation with petalisp?
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Is there a language with lisp syntax but C semantics?
While not "as fast as C" (C is not the absolute pinnacle of performance), Common Lisp is incredibly fast compared to the majority of programming languages around today. There is even a huge amount of ongoing work being done to make it faster still. We are seeing many interesting projects that make better use of the hardware in your computer (e.g. https://github.com/marcoheisig/Petalisp).
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Common Lisp Implementations in 2023
i think lisp-stat library is actually being developed. however one numerical cl library that doesnt get enough mention and is being constantly developed is petalisp for HPC
https://github.com/marcoheisig/Petalisp
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numericals - Performance of NumPy with the goodness of Common Lisp
However, if you have a lisp library that puts those semantics to use, then you could get it to employ magicl/ext-blas and cl-bmas to speed it up. (petalisp looks relevant, but I lack the background to compare it with APL.)
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New Lisp-Stat Release
> his means cl pagckages can be "done".
this is true if there is nothing functional that can be added to a package. however its very much not true for ml frameworks right now. new things are being added all the time in the field. however even in the package i linked you have the necessary ingredients for any deep learning model: cuda and back propagation. the other person mentioned convolution which i think is pretty trivial to implement but still, if you expect everything for you to be ready made then you should probably stick to tf and pytorch. if you want to explore the cutting edge and push the boundaries then i think common lisp is a good tool. as an aside it might also be interesting to note that a common lisp package (Petalisp) is being used for high performance computing by a german university
https://github.com/marcoheisig/Petalisp
- The Julia language has a number of correctness flaws
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When a young programmer who has been using C for several years is convinced that C is the best possible programming language and that people who don't prefer it just haven't use it enough, what is the best argument for Lisp vs C, given that they're already convinced in favor of C?
One trick is that Common Lisp can generate and compile code at runtime, whereas static languages typically do not have a compiler available at runtime. This lets you make your own lazy person's JIT/staged compiler, which is useful if some part of the problem is not known at compile-time. Such an approach has been used at least for array munging, type munging and regular expression munging.
clojure
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Let's write a simple microservice in Clojure
This article will explain how to write a simple service in Clojure. The sweet spot of making applications in Clojure is that you can expressively use an entire rich Java ecosystem. Less code, less boilerplate: it is possible to achieve more with less. In this example, I use most of the libraries from the Java world; everything else is a thin Clojure wrapper around Java libraries.
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Top Paying Programming Technologies 2024
5. Clojure - $96,381
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A new F# compiler feature: graph-based type-checking
I have a tangential question that is related to this cool new feature.
Warning: the question I ask comes from a part of my brain that is currently melted due to heavy thinking.
Context: I write a fair amount of Clojure, and in Lisps the code itself is a tree. Just like this F# parallel graph type-checker. In Lisps, one would use Macros to perform compile-time computation to accomplish something like this, I think.
More context: Idris2 allows for first class type-driven development, where the types are passed around and used to formally specify program behavior, even down to the value of a particular definition.
Given that this F# feature enables parallel analysis, wouldn't it make sense to do all of our development in a Lisp-like Trie structure where the types are simply part of the program itself, like in Idris2?
Also related, is this similar to how HVM works with their "Interaction nets"?
https://github.com/HigherOrderCO/HVM
https://www.idris-lang.org/
https://clojure.org/
I'm afraid I don't even understand what the difference between code, data, and types are anymore... it used to make sense, but these new languages have dissolved those boundaries in my mind, and I am not sure how to build it back up again.
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Ask HN: Why does the Clojure ecosystem feel like such a wasteland?
As an analogy - my face hasn't changed all that much in a past few years, and I haven't changed my profile picture in those few years. Does it really mean that I'm unmaintained/dead?
> Where can I find latest documentation [...]?
The answer is still https://clojure.org/. And https://clojuredocs.org/ but it's community-maintained so might occasionally be missing some things right after they're released. E.g. as of this moment Clojure 1.11 is still not there since the maintainer of the website has some technical issues deploying the updated version of the website.
For me personally, the best API-level documentation is the source code.
> Where can I find [...] tools / libraries in a easy to use page or section?
There's no central repository of all the available things since they can be loaded from many places (Clojars, Maven Central, other Maven repositories, S3, Git, local files).
But there are community-maintained lists, like the one you've mentioned at https://www.clojure-toolbox.com (fully manual, AFAIK) or the one at https://phronmophobic.github.io/dewey/search.html (automated but only for GitHub). Perhaps there are others but I'm not familiar with them - most of the time, I myself don't find that much value in such services as I'm usually able to find things with a regular web search engine or ask the community when I need something in particular.
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Why Lisp Syntax Works
They are written in Java, and implement a bunch of interfaces, so the implementation looks complicated, but they are basically just classes with head and tail fields.
https://github.com/clojure/clojure/blob/master/src/jvm/cloju...
- Clojure compiler workshop
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If Clojure is immutable, how does atom work?
Like this.
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Best implementation of CL for learning purposes
As a Java/Scala user you should check out Clojure! It is highly recommended (https://clojure.org)
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Why I decided to learn (and teach) Clojure
Lisp is not a programming language, but a family of languages with many dialects. The most famous dialects include Common Lisp, Clojure, Scheme and Racket. So after deciding that I was going to learn Lisp, I had to choose one of its dialects.
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8 Meta-learning Tips To Grow Your Skills as a Software Engineer
I learned Clojure to implement a plugin for Metabase (the tool my former company used for creating business dashboards). I probably won’t ever use the language anymore in the future, but learning functional programming was fun and eye-opening.
What are some alternatives?
awesome-cl - A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
racket - The Racket repository
JWM - Cross-platform window management and OS integration library for Java
malli - High-performance data-driven data specification library for Clojure/Script.
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
trufflesqueak - A Squeak/Smalltalk VM and Polyglot Programming Environment for the GraalVM.
magicl - Matrix Algebra proGrams In Common Lisp.
scala - Scala 2 compiler and standard library. Bugs at https://github.com/scala/bug; Scala 3 at https://github.com/scala/scala3
lish - Lisp Shell
nbb - Scripting in Clojure on Node.js using SCI
StatsBase.jl - Basic statistics for Julia
criterium - Benchmarking library for clojure