GitHub - exaloop/codon: A high-performance, zero-overhead, extensible Python compiler using LLVMYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
Let's Write an LLVM Specializer for Python! (Stephen Diehl)
This is the followup to my talk LLVM Optimized Python at the Harvard-Smithsonian Center for Astrophysics, we'll do the deep dive that I didn't have time for. We're going to build a single module Numba-like compiler for Python. It won't be nearly as featureful or complete, but should demonstrate how you can go about building your own little LLVM specializer for a subset of Python or your own custom
Introducing Pyston: an upcoming, JIT-based Python implementation
Introducing Pyston: an upcoming, JIT-based Python implementation Hello everyone, I’m very excited to announce Pyston, a new open-source implementation of Python, currently under development at Dropbox. The goal of the project is to produce a high-performance Python implementation that can push Python into domains dominated by traditional systems languages like C++. Here at Dropbox, we love Python
QuickStart — llvmpy
llvmpy is a Python wrapper around the llvm C++ library which allows simple access to compiler tools. It can be used for a lot of things, but here are some ideas: dynamically create LLVM IR for linking with LLVM IR produced by CLANG or dragonegg build machine code dynamically using LLVM execution engine use together with PLY or other tokenizer and parser to write a complete compiler in Python Quick
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GitHub - numba/numba: NumPy aware dynamic Python compiler using LLVM
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