cl-cuda
awesome-lisp-companies
cl-cuda | awesome-lisp-companies | |
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5 | 51 | |
270 | 580 | |
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0.0 | 6.8 | |
almost 3 years ago | about 1 month ago | |
Common Lisp | ||
MIT License | - |
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cl-cuda
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Why Lisp? (2015)
> You can write a lot of macrology to get around it, but there's a point where you want actual compiler writers to be doing this
this is not the job of compiler writers (although writing macros is akin to writing a compiler but i do not think that this is what you mean). in julia the numerical programming packages are not part of the standard library and a lot of it is wrappers around C++ code especially when the drivers to the underlining hardware are closed-source [0]. also here is the similar library in common lisp [1]
[0] https://github.com/JuliaGPU/CUDA.jl
[1] https://github.com/takagi/cl-cuda
- Fast and Elegant Clojure: Idiomatic Clojure without sacrificing performance
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Hacker News top posts: Aug 14, 2021
A Common Lisp Library to Use Nvidia CUDA\ (0 comments)
- A Common Lisp Library to Use Nvidia CUDA
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Machine Learning in Lisp
Personally, I've been relying on the stream-based method using py4cl/2, mostly because I did not - and perhaps do not - have the knowledge and time to dig into the CFFI based method. The limitation is that this would get you less than 10000 python interactions per second. That is sufficient if you will be running a long running python task - and I have successfully run trivial ML programs using it, but any intensive array processing gets in the way. For this later task, there are a few emerging libraries like numcl and array-operations without SIMD (yet), and numericals using SIMD. For reasons mentioned on the readme, I recently cooked up dense-arrays. This has interchangeable backends and can also use cl-cuda. But barring that, the developer overhead of actually setting up native-CFFI ecosystem is still too high, and I'm back to py4cl/2 for tasks beyond array processing.
awesome-lisp-companies
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Google Common Lisp Style Guide
Thanks to ITA Software (powering Kayak and Orbitz), Google dedicates resources to open-source Common Lisp development. More specifically, to SBCL:
> Doug Katzman talked about his work at Google getting SBCL to work with Unix better. For those of you who don’t know, he’s done a lot of work on SBCL over the past couple of years, not only adding a lot of new features to the GC and making it play better with applications which have alien parts to them, but also has done a tremendous amount of cleanup on the internals and has helped SBCL become even more Sanely Bootstrappable. That’s a topic for another time, and I hope Doug or Christophe will have the time to write up about the recent improvements to the process, since it really is quite interesting.
> Anyway, what Doug talked about was his work on making SBCL more amenable to external debugging tools, such as gdb and external profilers. It seems like they interface with aliens a lot from Lisp at Google, so it’s nice to have backtraces from alien tools understand Lisp. It turns out a lot of prerequisite work was needed to make SBCL play nice like this, including implementing a non-moving GC runtime, so that Lisp objects and especially Lisp code (which are normally dynamic space objects and move around just like everything else) can’t evade the aliens and will always have known locations.
https://mstmetent.blogspot.com/2020/01/sbcl20-in-vienna-last...
https://lisp-journey.gitlab.io/blog/yes-google-develops-comm...
The ASDF system definition facility, at the heart of CL projects, also comes from Google developers.
While we're at it, some more companies using CL today: https://github.com/azzamsa/awesome-lisp-companies/
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Why Is Common Lisp Not the Most Popular Programming Language?
Everyone, if you don't have a clue on how's Common Lisp going these days, I suggest:
https://lisp-journey.gitlab.io/blog/these-years-in-common-li... (https://www.reddit.com/r/lisp/comments/107oejk/these_years_i...)
A curated list of libraries: https://github.com/CodyReichert/awesome-cl
Some companies, the ones we hear about: https://github.com/azzamsa/awesome-lisp-companies/
and oh, some more editors besides Emacs or Vim: https://lispcookbook.github.io/cl-cookbook/editor-support.ht... (Atom/Pulsar support is good, VSCode support less so, Jetbrains one getting good, Lem is a modern Emacsy built in CL, Jupyter notebooks, cl-repl for a terminal REPL, etc)
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We need to talk about parentheses
Examples (for Common Lisp, so not citing Emacs): reddit v1, Google's ITA Software that powers airfare search engines (Kayak, Orbitz…), Postgres' pgloader (http://pgloader.io/), which was re-written from Python to Common Lisp, Opus Modus for music composition, the Maxima CAS, PTC 3D designer CAD software (used by big brands worldwide), Grammarly, Mirai, the 3D editor that designed Gollum's face, the ScoreCloud app that lets you whistle or play an instrument and get the music score,
but also the ACL2 theorem prover, used in the industry since the 90s, NASA's PVS provers and SPIKE scheduler used for Hubble and JWT, many companies in Quantum Computing, companies like SISCOG, who plans the transportation systems of european metropolis' underground since the 80s, Ravenpack who's into big-data analysis for financial services (they might be hiring), Keepit (https://www.keepit.com/), Pocket Change (Japan, https://www.pocket-change.jp/en/), the new Feetr in trading (https://feetr.io/, you can search HN), Airbus, Alstom, Planisware (https://planisware.com),
or also the open-source screenshotbot (https://screenshotbot.io), the Kandria game (https://kandria.com/),
and the companies in https://github.com/azzamsa/awesome-lisp-companies and on LispWorks and Allegro's Success Stories.
https://github.com/tamurashingo/reddit1.0/
http://opusmodus.com/
https://www.ptc.com/en/products/cad/3d-design
http://www.izware.com/mirai
https://apps.apple.com/us/app/scorecloud-express/id566535238
- A Tour of Lisps
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All of Mark Watson's Lisp Books
> but there doesn't seem to be one that really stands out as pragmatic, industrial
disagree ;) This industrial language is Common Lisp.
Some industrial uses:
- http://www.lispworks.com/success-stories/index.html
- https://github.com/azzamsa/awesome-lisp-companies/
- https://lisp-lang.org/success/
Example companies: Intel's programmable chips, the ACL2 theorem prover (https://royalsocietypublishing.org/doi/10.1098/rsta.2015.039...), urban transportation planning systems (SISCOG), Quantum Computing (HRL Labs, Rigetti…), big data financial analysis (Ravenpack, they might be hiring), Google, Boeing, the NASA, etc.
ps: Python competing? strong disagree^^
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Why Common Lisp is used to implement commercial products at Secure Outcomes (2010)
and of course, a quite recent list of companies, in addition of LW's success stories page: https://github.com/azzamsa/awesome-lisp-companies/
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Steel Bank Common Lisp
Hey there, newer member of the first group here. Please see https://github.com/azzamsa/awesome-lisp-companies/ to update your meta-comment. So, is CL used in the industry today, yes or no?
Personal note: I much prefer to maintain a long-living software in Common Lisp rather than in Python, thank you very much. May all the new programmers learn easily and all the teams have lots of ~~burden~~ work with Python, good for them.
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Racket: The Lisp for the Modern Day
Common Lisp has many industrial uses though.
(https://github.com/azzamsa/awesome-lisp-companies/
https://lisp-lang.org/success/
http://www.lispworks.com/success-stories/index.html
such as
https://www.cs.utexas.edu/users/moore/acl2/ (theorem prover used by big corp©)
https://allegrograph.com/press_room/barefoot-networks-uses-f... (Intel programmable chip)
quantum compilers https://news.ycombinator.com/item?id=32741928
etc, etc, etc)
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Why Lisp Syntax Works
A few more that we know of, using CL today: https://github.com/azzamsa/awesome-lisp-companies/
Others: https://lisp-lang.org/success/
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How to Understand and Use Common Lisp
yes
https://github.com/azzamsa/awesome-lisp-companies
http://lisp-lang.org/success/
industrial theorem prover, design of Intel chips, quantum compilers...
and little me, being more productive and having more fun than with python to deploy boring tools (read a DB, format the data, send to FTP servers, show a web interface...).
What are some alternatives?
numcl - Numpy clone in Common Lisp
Carp - A statically typed lisp, without a GC, for real-time applications.
criterium - Benchmarking library for clojure
portacle - A portable common lisp development environment
numericals - CFFI enabled SIMD powered simple-math numerical operations on arrays for Common Lisp [still experimental]
julia - The Julia Programming Language
py4cl - Call python from Common Lisp
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
hash-array-mapped-trie - A hash array mapped trie implementation in c.
Fennel - Lua Lisp Language
rewrite - Automated mass refactoring of source code.
kandria - A post-apocalyptic actionRPG. Now on Steam!