taco VS CuTeLib

Compare taco vs CuTeLib and see what are their differences.

taco

The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs (by tensor-compiler)
Tensor tensor-algebra Linear Algebra Library Code-Generator Sparse tensor-algebra-compiler
Source Code
tensor-compiler.org
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CuTeLib

CUDA Template Library provides simple, typesafe, performant constructs for C++ CUDA projects (by anders-wind)
Cuda cpp-library HPC Tensor

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taco CuTeLib
2 1
1,208 0
1.1% -
0.0 7.8
18 days ago over 2 years ago
C++ C++
GNU General Public License v3.0 or later 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.

taco

Posts with mentions or reviews of taco. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-15.
  • The Distributed Tensor Algebra Compiler (2022)
    4 projects | news.ycombinator.com | 15 Jun 2023
    I agree! Much of this work was done as part of the overarching TACO project (https://github.com/tensor-compiler/taco), in an attempt to distribute sparse tensor computations (https://rohany.github.io/publications/sc2022-spdistal.pdf). MLIR recently (~mid 2022) began implementing the ideas from TACO into a "sparse tensor" dialect, so perhaps some of these ideas could make it into there. I'm working with MLIR these days, and if I could re-do the project now I would probably utilize and targetb the MLIR linalg infrastructure!
  • Qué tire la primer piedra, aquien no le ha pasado así....?
    1 project | /r/mexico | 14 Jul 2022

CuTeLib

Posts with mentions or reviews of CuTeLib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-19.

What are some alternatives?

When comparing taco and CuTeLib you can also consider the following projects:

blitz - Blitz++ Multi-Dimensional Array Library for C++

oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces

Grassmann.jl - ⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra

stlbm

MegEngine - MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

mtensor - a c++/cuda template library for tensor lazy evaluation

YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

theme-ui - Build consistent, themeable React apps based on constraint-based design principles

CHAI - Copy-hiding array abstraction to automatically migrate data between memory spaces

ntfstool - Forensics tool for NTFS (parser, mft, bitlocker, deleted files)

gtensor - GTensor is a multi-dimensional array C++14 header-only library for hybrid GPU development.

taco vs blitz CuTeLib vs oneMKL taco vs Grassmann.jl CuTeLib vs stlbm taco vs MegEngine CuTeLib vs mtensor taco vs YOLOX CuTeLib vs blitz taco vs theme-ui CuTeLib vs CHAI taco vs ntfstool CuTeLib vs gtensor