Tullio.jl
⅀ (by mcabbott)
FoldsCUDA.jl
Data-parallelism on CUDA using Transducers.jl and for loops (FLoops.jl) (by JuliaFolds)
Tullio.jl | FoldsCUDA.jl | |
---|---|---|
4 | 1 | |
583 | 54 | |
- | - | |
5.2 | 0.0 | |
5 months ago | 11 months ago | |
Julia | Julia | |
MIT License | MIT 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.
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.
Tullio.jl
Posts with mentions or reviews of Tullio.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-09.
- A basic introduction to NumPy's einsum
- Generic GPU Kernels
-
Julia: Faster than Fortran, cleaner than Numpy
Julia ships with OpenBLAS, in some cases there are pure-Julia "blas-like" routine that can be as fast:
https://github.com/mcabbott/Tullio.jl
FoldsCUDA.jl
Posts with mentions or reviews of FoldsCUDA.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-06.
What are some alternatives?
When comparing Tullio.jl and FoldsCUDA.jl you can also consider the following projects:
Zygote.jl - 21st century AD
FLoops.jl - Fast sequential, threaded, and distributed for-loops for Julia—fold for humans™
CUDA.jl - CUDA programming in Julia.
KernelAbstractions.jl - Heterogeneous programming in Julia
ForwardDiff.jl - Forward Mode Automatic Differentiation for Julia
TensorOperations.jl - Julia package for tensor contractions and related operations
futhark - :boom::computer::boom: A data-parallel functional programming language
JuliaInterpreter.jl - Interpreter for Julia code
Transducers.jl - Efficient transducers for Julia
Halide - a language for fast, portable data-parallel computation
Tullio.jl vs Zygote.jl
FoldsCUDA.jl vs FLoops.jl
Tullio.jl vs CUDA.jl
FoldsCUDA.jl vs KernelAbstractions.jl
Tullio.jl vs ForwardDiff.jl
FoldsCUDA.jl vs CUDA.jl
Tullio.jl vs TensorOperations.jl
FoldsCUDA.jl vs futhark
Tullio.jl vs JuliaInterpreter.jl
FoldsCUDA.jl vs Transducers.jl
Tullio.jl vs futhark
FoldsCUDA.jl vs Halide