fms_blas VS monolish

Compare fms_blas vs monolish and see what are their differences.

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fms_blas monolish
1 1
3 189
- 0.0%
0.0 7.8
almost 2 years ago 6 months ago
C++ C++
MIT License Apache License 2.0
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.

fms_blas

Posts with mentions or reviews of fms_blas. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-20.
  • Should C++ adopt a standard matrix container?
    4 projects | /r/cpp | 20 Dec 2021
    I do not have as much experience as you do, but I've written as simple BLAS wrapper for my own use. https://github.com/keithalewis/fms_blas One thing to keep in mind is the impedance mismatch between C++ and BLAS. Users must be aware of the memory required by BLAS routines in order to avoid copying/clobbering data.

monolish

Posts with mentions or reviews of monolish. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing fms_blas and monolish you can also consider the following projects:

matrix-sized - Generic matrix with statically known size and bindings to C++ linear algebra libraries (Eigen, Spectra).

oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces