copperhead VS numba

Compare copperhead vs numba and see what are their differences.

copperhead

Data Parallel Python (by bryancatanzaro)
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numba

NumPy aware dynamic Python compiler using LLVM (by gmarkall)
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copperhead numba
1 1
207 5
- -
0.0 0.0
about 11 years ago 1 day ago
Python Python
Apache License 2.0 BSD 2-clause "Simplified" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

copperhead

Posts with mentions or reviews of copperhead. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-16.
  • Unifying the CUDA Python Ecosystem
    13 projects | news.ycombinator.com | 16 Apr 2021
    Oh that sounds interesting. Do you know what happened to it?

    I think I found it here: https://github.com/bryancatanzaro/copperhead

    But I'm not sure what the state is. Looks dead (last commit 8 years ago). Probably just a proof of concept. But why hasn't this been continued?

    Blog post and example:

numba

Posts with mentions or reviews of numba. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-16.
  • Unifying the CUDA Python Ecosystem
    13 projects | news.ycombinator.com | 16 Apr 2021
    that project might be abandoned but this strategy is used in nvidia and nvidia adjacent projects (through llvm):

    https://github.com/rapidsai/cudf/blob/branch-0.20/python/cud...

    https://github.com/gmarkall/numba/blob/master/numba/cuda/com...

    >but we also need high level expressibility that doesn't require writing kernels in C

    the above are possible because C is actually just a frontend to PTX

    https://docs.nvidia.com/cuda/parallel-thread-execution/index...

    fundamentally you are not going to ever be able to have a way to write cuda kernels without thinking about cuda architecture anymore so than you'll ever be able to write async code without thinking about concurrency.

What are some alternatives?

When comparing copperhead and numba you can also consider the following projects:

amaranth - A modern hardware definition language and toolchain based on Python

cunumeric - An Aspiring Drop-In Replacement for NumPy at Scale

wgpu-py - Next generation GPU API for Python

CUDA.jl - CUDA programming in Julia.

gtc2017-numba - Numba tutorial for GTC 2017 conference

grcuda - Polyglot CUDA integration for the GraalVM

CudaPy - CudaPy is a runtime library that lets Python programmers access NVIDIA's CUDA parallel computation API.

cudf - cuDF - GPU DataFrame Library

copperhead vs amaranth numba vs cunumeric copperhead vs wgpu-py numba vs CUDA.jl copperhead vs gtc2017-numba numba vs grcuda copperhead vs CudaPy numba vs CudaPy copperhead vs cudf numba vs gtc2017-numba copperhead vs cunumeric copperhead vs CUDA.jl