chips
swift
chips | swift | |
---|---|---|
9 | 217 | |
918 | 66,093 | |
- | 0.6% | |
7.5 | 10.0 | |
about 1 month ago | 4 days ago | |
C | C++ | |
zlib 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.
chips
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Zilog Z80 CPU – Modern, free and open source silicon clone
Because it's a software implementation in Verilog which is much closer to a software emulator and has nothing to do with the original Z80 "transistor structure".
For instance here's the LD A,(DE) "payload":
https://github.com/rejunity/z80-open-silicon/blob/974c7711b2...
And here's the equivalent in my software emulator:
https://github.com/floooh/chips/blob/bd1ecff58337574bb46eba5...
What's interesting though is that the Verilog implementation doesn't seem to update the internal WZ register, even though there are references to WZ in other places.
But in the end, if it looks and feels like a Z80 from the outside (e.g. the right pins are active at the right time) the internal implementation doesn't matter all that much.
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Getting into way too much detail with the Z80 netlist simulation (2021)
Author here, interesting to see this posted since it's more like a reference manual for Z80 instructions with 'unusual' timings. The followup blog post about the cycle-stepped Z80 emulator is probably more interesting:
https://floooh.github.io/2021/12/17/cycle-stepped-z80.html
One important note: at the start of the post I'm speculating about why I was seeing some minor differences to a 'real' Z80, it turned out that this speculation was wrong and instead the differences were caused by 'incomplete' netlist simulation code which worked fine for the 6502 but required some tweaks for the Z80, see the comments of this GH issue for details: https://github.com/floooh/v6502r/issues/2.
As far as I'm aware the netlist simulation now behaves correctly like a Zilog Z80 (but note that reverse engineered Z80 clones like the East German U880 are known to have slightly different undocumented behaviour), and the Z80 emulator in https://github.com/floooh/chips is tested against the netlist simulation for correct behaviour and timing.
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A world to win: WebAssembly for the rest of us
I simply don't see that there's a big enough difference between traditional garbage collection, refcounting and manual memory management. Each of those can already be implemented in pure WASM, just more or less awkwardly.
As for "just another ISA", there have been CPUs which had separate call- and data-stacks, with the call-stack living on the CPU and not accessible as regular data. In that sense WASM isn't much different then those esoteric CPUs.
And even though WASM might not allow free jumps, I yet have to see a noticeable performance difference between WASM and native for this type of "worst case code":
https://github.com/floooh/chips/blob/f5b6684ff6e899429544b21...
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Appler: Apple ][ emulator for IBM PC, written in 8088 assembly
Oh my, the 6502 emulation [1] has fewer lines of assembly code than my (code-generated) implementation has lines of C code [2] :D
Very nice use of a macro assembler though [3], makes the code feel very high level.
To my defense, the generated code has a lot of redundancies (such as assert(false) which were meant to catch any 'stray cycles' but which are removed in release mode.
[1] https://github.com/zajo/appler/blob/develop/src/65C02.ASM
[2] https://github.com/floooh/chips/blob/master/chips/m6502.h
[3] https://github.com/zajo/appler/blob/52aaa0f768cdf303438cd2c7...
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Ask HN: What's the best source code you've read?
I don't know if it's the best code I've ever read but this emulation library [0] of 8 bits computers is pretty well written, documented and designed: https://github.com/floooh/chips.
It's a good way to document old hardware with emulation code.
- A new cycle-stepped Z80 emulator
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Tiny Emulators
Looks like here's the source code of the emulators:
8-bit chip and system emulators in standalone C headers - https://github.com/floooh/chips
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Emulating a Parallel Memory chip at the circuit level:
There's a project on GitHub of similar nature -- it has include-able .h files emulating 8-bit computer chips on the pin level, and bus state is also held in a 64-bit value: https://github.com/floooh/chips/blob/master/chips/m6502.h
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Yet Another Eater Sap1 Is Finished
I wrote also a library of components for some complex chips (like 6502 simulation using https://github.com/floooh/chips)
swift
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Swift's native Clocks are inefficient
https://github.com/apple/swift/pull/73429
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Evolving the Go Standard Library with math/rand/v2
This algorithm produces biased result with probability 1/2^(32-bitwidth(N)). Using 64 or 128 random bits can make the bias practically undetectable. Comprehensive overview of the approach can be found here: https://github.com/apple/swift/pull/39143
- Swift: Differentiable Programming Manifesto
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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.
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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.
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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...
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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.
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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.
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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.
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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...
What are some alternatives?
wasm.cljc - Spec compliant WebAssembly compiler, decompiler, and generator
solidity - Solidity, the Smart Contract Programming Language
s7-wasm - Example of using s7 Scheme with web assembly and emscripten
cpp-lazy - C++11/14/17/20 library for lazy evaluation
makaronLab - CPU simulation experiments
Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications
8086tiny - 8086tiny interpreter by Adrian Cable, taken from http://www.megalith.co.uk/8086tiny/
tree-sitter - An incremental parsing system for programming tools
TypeScript - TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
hummingbird - Hummingbird compiles trained ML models into tensor computation for faster inference.
appler - Apple ][ emulator for MS-DOS, written in 8088 assembly
lobster - The Lobster Programming Language