grcuda VS CUDAdrv.jl

Compare grcuda vs CUDAdrv.jl and see what are their differences.

grcuda

Polyglot CUDA integration for the GraalVM (by NVIDIA)

CUDAdrv.jl

A Julia wrapper for the CUDA driver API. (by JuliaGPU)
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grcuda CUDAdrv.jl
2 1
217 64
0.0% -
0.0 0.0
10 months ago almost 4 years ago
Java Julia
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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.

grcuda

Posts with mentions or reviews of grcuda. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-16.

CUDAdrv.jl

Posts with mentions or reviews of CUDAdrv.jl. 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
    here is writing a similar kernel in python with numba: https://github.com/ContinuumIO/gtc2017-numba/blob/master/4%2...

    I think the contrast is less about the language, and more about the scope and objective of the project. the blog is describing low-level interfaces in python - probably more comparable is the old CUDAdrv.jl package (now merged into CUDA.jl): https://github.com/JuliaGPU/CUDAdrv.jl/blob/master/examples/...

What are some alternatives?

When comparing grcuda and CUDAdrv.jl you can also consider the following projects:

cudf - cuDF - GPU DataFrame Library

gtc2017-numba - Numba tutorial for GTC 2017 conference

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

copperhead - Data Parallel Python

wgpu-py - Next generation GPU API for Python

intel-graphics-compiler

CUDA.jl - CUDA programming in Julia.

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

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

compute-runtime - Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver