staticanalysis
kaleidoscope
Our great sponsors
| staticanalysis | kaleidoscope | |
|---|---|---|
| - | 9 | |
| 0 | 1,017 | |
| - | - | |
| 0.0 | 0.0 | |
| over 8 years ago | about 4 years ago | |
| Haskell | Haskell | |
| GNU General Public License v3.0 only | MIT License |
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.
staticanalysis
We haven't tracked posts mentioning staticanalysis yet.
Tracking mentions began in Dec 2020.
kaleidoscope
- Implementing a JIT Compiled Language with Haskell and LLVM (2017)
-
Should I abandon using haskell for my compiler?
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.
-
What would be your programming language of choice to implement a JIT compiler ?
I think for writing compilers Haskell deserves to make the list. It is really excellent at creating DSLs. https://www.stephendiehl.com/llvm/
-
Proposal to Merge Pyston with Cpython
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...
- Why does Rust have parameters on impl?
-
Implementing a LLVM Micro C compiler in Haskell
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 I tried following Stephen Diehl's JIT compiler in LLVM tutorial[0] a few years ago but it was already outdated (the llvm-hs library changed quite a bit), and subsequent web searches didn't turn up much.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/
- Resources for Amateur Compiler Writers
-
Need some help with monad transformers
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:
-
Advanced books / tutorials about Haskell?
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'.
What are some alternatives?
accelerate-cuda - DEPRECATED: Accelerate backend for NVIDIA GPUs
hyper-haskell-server - The strongly hyped Haskell interpreter.
dhall-json
dhall - Maintainable configuration files
wasm - Haskell WebAssembly Toolkit
unbound - Replib: generic programming & Unbound: generic treatment of binders
Elm - Compiler for Elm, a functional language for reliable webapps.
ajhc - A fork of jhc. And also a Haskell compiler.
kempe - Kempe is a compiled stack-based language
pcf - A small compiler for PCF
accelerate-io - Read and write Accelerate arrays in various formats
uu-cco - Tools for the CCO (Compiler Construction) course at the UU (Utrecht University)