compiler VS kaleidoscope

Wow! Thank you for your hard work. I use python for all experimental work so this would speed up my scripting work, such as processing data from API calls or filesystem.

I wrote a simple toy JIT for a Javascript-like language. It might be useful for others to learn from because it's so simply written and not complicated. I do lazy patching of callsites, I haven't got anywhere near as advanced as tracing or copy-and-patching. Much of the code I wrote for this JIT was written in Python and ported to C. The Java Virtual Machine has a template interpreter which is interesting to research.

I haven't got around to encoding amd64 x86_64 instructions as bitmasks yet, so I've hardcoded it.

[1]: https://github.com/samsquire/compiler

Thank you for this article.

I'm a beginner to programming language implementation and design but here's what I learned. But what I want to do this with this comment I want to encourage you to start work on your programming language and just "Do Something©", Anything! You might have always dreamed to create a programming language. You can indeed try that! Have faith that you can do something, even if it's simple or incomplete, at least you learned something and got another skill.

I don't want to be trapped by the idea that building your own programming language is impossibly difficult and that it will never be used so what's the point.

It's so worthwhile.

You can still do something! Effort doesn't have to be wasted! Go and try write a simple virtual machine: it's just a for loop over instructions that manipulate memory. I wrote a non-bytecode compiler, which just uses List for instructions and HashMap for instruction arguments.

Andrew Kling built a browser and operating system and Terry Davis built an operating system. They encourage that someone can in fact learn a lot and do a lot.

I don't want to endlessy design things OR only write implementations. I think you can write lots of ideas down AND spend time implementing things and getting your keyboard busy.

I wrote this incomplete JIT compiler in C which has a simple nondesigned frontend that resembles Javascript. ANF is my intermediate representation.

https://github.com/samsquire/compiler

I wrote a multithreaded imaginary assembly language that sends integers between threads through mailboxes but nowhere near LMAX Disruptor performance.

I think you should avoid spending too much time on your parser or lexer, use the Kaledeiscope LLVM tutorial to learn how to write recursive descent parsers and move onto code generation. I did mine with switch statements. The more you actually write parsers the easier it gets, but at first when you have no clue, you CAN just read someone else's implementation of it. Understand it, then write your own to your own design. if you get Analysis paralysis and worry about making a mistake or unoptimal decision and that prevents you from doing something suboptimal but actually do something.

I rushed through my compiler to get to the code generation step because my goal was code generation.

My dream: parallel and concurrent language that combines threads and coroutines with efficient interthread communication similar to LMAX Disruptor and allows writing of efficient pipelines that are serialisable like Temporal.io.

Thanks for this.

I started a basic toy JIT compiler for a language that looks similar to JavaScript. It is incomplete.

https://github.com/samsquire/compiler

With these kinds of projects there is a lot of work to be done and I feel it's difficult to get started reading a codebase for a JIT compiler or gcc or LLVM.

https://github.com/samsquire/compiler

It's a toy and incomplete but I've worked on compiling MOV and ADD instructions.

On thing you can do it implement a JIT compiler.

Here's Martin Jacob's code to execute arbitrary memory:

https://gist.github.com/martinjacobd/3ee56f3c7b7ce621034ec3e...

Since your C program is already in memory, you have access to the C standard library and don't have to worry about linking or object formats :-) but you'll have to worry about parameter passing and FFI.

My JIT compiler based on this idea is here https://github.com/samsquire/compiler but it is incomplete.

This is interesting, thank you.

I really should learn from BEAM and the OTP and learn Erlang. I get the feeling it's super robust and reliable and low maintenance. I wrote a userspace multithreaded scheduler which distributes N lightweight threads to M kernel threads.

https://github.com/samsquire/preemptible-thread

I recently wrote a JIT compiler and got lazy compilation of machine code working and I'm nowhere near beginning optimisation

https://github.com/samsquire/compiler

How do you write robust software, that doesn't crash when something unexpected goes on?

I looked at sozo https://github.com/sozu-proxy/sozu

and I'm thinking how to create something that just stays up and running regardless.

Comparing the haskell and cpp implementations of the LLVM tutorial lead me to believe it might be faster to learn haskell and implement the compiler in haskell than to implement it in cpp.

I think for writing compilers Haskell deserves to make the list. It is really excellent at creating DSLs. https://www.stephendiehl.com/llvm/

I'm no expert, but you might be interested in: https://llvm.org/docs/tutorial/

There's also a Haskell version if you'd prefer: https://www.stephendiehl.com/llvm/

Idk how to do this in python as I'm not really good with it, but in C, to make your compiler a JIT, you would `mmap` a region as writeable, write the machine code to it that you already know how to generate, `mprotect` it as PROT_EXEC instead of PROC_WRITE, cast the pointer to the region to a function pointer, and then call it. These functions may be available in the python sys package but I don't really know.

I've implemented a "JIT" that takes machine code as hex and does this. Warning: it's complete garbage with no error checking but is a good proof of concept. https://gist.github.com/martinjacobd/3ee56f3c7b7ce621034ec3e...

This is amazing. I tried following Stephen Diehl's JIT compiler in LLVM tutorial[0] a few years ago but it was already outdated (the llvm-hs library changed quite a bit), and subsequent web searches didn't turn up much.

For those interested in tutorials like this, I'd also recommend a very literate Haskell compiler for the PCF language to C[1], which is essentially lambda calculus with some primitives.

[0] https://www.stephendiehl.com/llvm/

[1] https://github.com/jozefg/pcf/

I'm currently working with llvm-hs-pure and am struggling to properly emit code for a module. I basically followed https://www.stephendiehl.com/llvm/#chapter-3-code-generation and have types like:

http://www.stephendiehl.com/llvm/ Implementing a JIT Compiled Language with Haskell and LLVM Nice tutorial. Requires knowledge of monads, applicatives, transformers. Deep enough and more or less 'real world'.