sectorlisp
swift
Our great sponsors
sectorlisp | swift | |
---|---|---|
25 | 214 | |
1,166 | 65,806 | |
- | 0.6% | |
4.3 | 10.0 | |
4 months ago | 6 days ago | |
C | C++ | |
ISC License | Apache License 2.0 |
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.
sectorlisp
-
are there any benchmarks on sector lisp
I'm assuming you are referring to https://github.com/jart/sectorlisp which I gather is an attempt to make a Lisp that fits in a disk boot sector?
- Sectorlisp
- Kilo Lisp: A Kilo Byte-Sized Lisp System
- For the LISP 1.5 mainframe fans here...
- Ask HN: Best book to learn C in 2022?
-
Take More Screenshots
I think SIMD was a distraction to our conversation, most code doesn't use it and in the future the length agnostic, flexible vectors; https://github.com/WebAssembly/flexible-vectors/blob/master/... are a better solution. They are a lot like RVV; https://github.com/riscv/riscv-v-spec, research around vector processing is why RISC-V exists in the first place!
I was trying to find the smallest Rust Wasm interpreters I could find, I should have read the source first, I only really use wasmtime, but this one looks very interesting, zero deps, zero unsafe.
16.5kloc of Rust https://github.com/rhysd/wain
The most complete wasm env for small devices is wasm3
20kloc of C https://github.com/wasm3/wasm3
I get what you are saying as to be so small that there isn't a place of bugs to hide.
> “There are two ways of constructing a software design: One way is to make it so simple that there are obviously no deficiencies, and the other way is to make it so complicated that there are no obvious deficiencies. The first method is far more difficult.” CAR Hoare
Even a 100 line program can't be guaranteed to be free of bugs. These programs need embedded tests to ensure that the layer below them is functioning as intended. They cannot and should not run open loop. Speaking of 300+ reimplementations, I am sure that RISC-V has already exceeded that. The smallest readable implementation is like 200 lines of code; https://github.com/BrunoLevy/learn-fpga/blob/master/FemtoRV/...
I don't think Wasm suffers from the base extension issue you bring up. It will get larger, but 1.0 has the right algebraic properties to be useful forever. Wasm does require an environment, for archival purposes that environment should be written in Wasm, with api for instantiating more envs passed into the first env. There are two solutions to the Wasm generating and calling Wasm problem. First would be a trampoline, where one returns Wasm from the first Wasm program which is then re-instantiated by the outer env. The other would be to pass in the api to create new Wasm envs over existing memory buffers.
See, https://copy.sh/v86/
MS-DOS, NES or C64 are useful for archival purposes because they are dead, frozen in time along with a large corpus of software. But there is a ton of complexity in implementing those systems with enough fidelity to run software.
Lua, Typed Assembly; https://en.wikipedia.org/wiki/Typed_assembly_language and Sector Lisp; https://github.com/jart/sectorlisp seem to have the right minimalism and compactness for archival purposes. Maybe it is sectorlisp+rv32+wasm.
If there are directions you would like Wasm to go, I really recommend attending the Wasm CG meetings.
https://github.com/WebAssembly/meetings
When it comes to an archival system, I'd like it to be able to run anything from an era, not just specially crafted binaries. I think Wasm meets that goal.
https://gist.github.com/dabeaz/7d8838b54dba5006c58a40fc28da9...
-
*Laughs in autocmd*
Based on this, the next thing you wrote, and your reference to running a minimal Gentoo: I think you might be a Scheme fan in the making. Scheme is the minimal Lisp. (Okay, that might be sectorlisp which fits in 512 bytes.) It’s hands down my favorite language. While it’s evolved on its own to be more of a superset of Scheme, Racket is my Scheme of choice.
- Bootstrapping Lisp in a Boot Sector
-
That's pretty much it!
sectorlisp
swift
- Swift: Differentiable Programming Manifesto
-
Embedded Swift on the Raspberry Pi Pico
Because of C/C++ interop, and integration with CMake, you can just add Swift to a Zephyr project and it pretty much Just Works. [The docs](https://github.com/apple/swift/blob/main/docs/EmbeddedSwift/...) should mostly apply to the Zephyr SDK as well.
-
A Deep Dive Into Observation: A New Way to Boost SwiftUI Performance
Fortunately, the Observation framework is part of the Swift 5.9 standard library. We can learn more information by examining its source code.
-
Swift was always going to be part of the OS
They do! See https://github.com/apple/swift/blob/main/docs/LibraryEvoluti...
You can also see an example of what a different high level language integration with Swift ABI looks like here: https://github.com/dotnet/designs/blob/main/proposed/swift-i...
-
Differentiable Swift
So is differentiable Swift a package for Swift or is it part of the Swift standard library? The video says go to swift.org but I can't find any info about differentiable Swift on that site.
-
Beyond Backpropagation - Higher Order, Forward and Reverse-mode Automatic Differentiation for Tensorken
Swift's Differentiable Programming Manifesto. Swift has a powerful differentiable programming component, integrated with the compiler.
-
Kotlin Multiplatform for Android and iOS Apps
You can do the same thing the other way around - https://github.com/apple/swift/blob/main/docs/Android.md.
-
This isn’t the way to speed up Rust compile times
Codable (along with other derived conformances like Equatable, Hashable, and RawRepresentable) is indeed built in to the compiler[0], but unlike Serde, it operates during type-checking on a fully-constructed AST (with access to type information), manipulating the AST to insert code. Because it operates at a later stage of compilation and at a much higher level (with access to type information), the work necessary is significantly less.
With ongoing work for Swift macros, it may eventually be possible to rip this code out of the compiler and rewrite it as a macro, though it would need to be a semantic macro[1] rather a syntactic one, which isn't currently possible in Swift[2].
[0] https://github.com/apple/swift/blob/main/lib/Sema/DerivedCon...
-
How does Swift implement primitive types in its standard library?
`Int` is a regular struct with a single stored property of type `Builtin.Word` . But the latter is a magical compiler built-in. Source for integer types is generated from this template - https://github.com/apple/swift/blob/9da65ca0a15fdf341649c994b0a77ec3b71f2687/stdlib/public/core/IntegerTypes.swift.gyb
- Catalog of All SwiftUI Changes?
What are some alternatives?
sectorforth - sectorforth is a 16-bit x86 Forth that fits in a 512-byte boot sector.
solidity - Solidity, the Smart Contract Programming Language
small-lisp - A very small lisp interpreter, that I may one day get working on my 8-bit AVR microcontroller.
cpp-lazy - C++11/14/17/20 library for lazy evaluation
Carp - A statically typed lisp, without a GC, for real-time applications.
Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications
mal - mal - Make a Lisp
tree-sitter - An incremental parsing system for programming tools
femtolisp - a lightweight, robust, scheme-like lisp implementation
hummingbird - Hummingbird compiles trained ML models into tensor computation for faster inference.
kernel-zig - :floppy_disk: hobby x86 kernel zig
lobster - The Lobster Programming Language