cl-cuda
quilc
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cl-cuda | quilc | |
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5 | 10 | |
270 | 444 | |
- | 1.1% | |
0.0 | 6.5 | |
almost 3 years ago | 2 days ago | |
Common Lisp | Common Lisp | |
MIT License | Apache License 2.0 |
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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]
- 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.
quilc
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Typed Lisp, a primer (2019)
Yes, they use it for their quantum compiler, at RHL Laboratories (it was maybe initiated even at Rigetti). https://github.com/quil-lang/quilc
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I am planning my master's thesis to be about quantum computing and Lisp. Which books do you recommand on the subject ?
QUILC is probably the most interesting project. It is an open-source automatic, retargetable, optimizing compiler for Quil. It can take nearly any quantum computer architecture description and compile+optimize a Quil program for that architecture.
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Lisp For Quantum Simulation?
The QVM does all manner of quantum computer simulations. It specifically simulates a Quil program, with both classical and quantum operators. The QVM has lots of different modes of operation:
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Controlled S gate
You can do this with a compiler like quilc. A program like
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IonQ Develop New Quantum Computing Gate, Only Possible on IonQ and Duke Systems
This is a new physical implementation of a particular mathematical operation, on a specific modality of qubit. The same mathematical operation can be computed on any other quantum computer in production today; very easily so if you use a compiler like QUILC [0].
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Internships at HRL Labs writing Common Lisp for quantum computers (US only)
For people who maybe already have a job, just want to dip their toes in, or some other life thing that prohibits them from being employed, I’ve done pro bono mentorship sessions to interested individuals, helping them contribute to open source software around this stack, like the quantum compiler. Always happy to discuss that for serious applicants.
- Fast and Elegant Clojure: Idiomatic Clojure without sacrificing performance
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How do you use Lisp at work?
compiler code
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Anybody using Common Lisp or clojure for data science
Yes, simulator, compiler, paper is some of it.
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Compiler in Lisp
Speaking about Common Lisp, the only commercial-level compiler implementation that I know of is https://github.com/rigetti/quilc by /u/stylewarning et al.
What are some alternatives?
numcl - Numpy clone in Common Lisp
criterium - Benchmarking library for clojure
april - The APL programming language (a subset thereof) compiling to Common Lisp.
numericals - CFFI enabled SIMD powered simple-math numerical operations on arrays for Common Lisp [still experimental]
ergolib - A library designed to make programming in Common Lisp easier
py4cl - Call python from Common Lisp
mgl - Common Lisp machine learning library.
hash-array-mapped-trie - A hash array mapped trie implementation in c.
skiko - Kotlin MPP bindings to Skia
LoopVectorization.jl - Macro(s) for vectorizing loops.
qvm - The high-performance and featureful Quil simulator.