precision VS Thrust

Compare precision vs Thrust and see what are their differences.

Thrust

[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl (by NVIDIA)
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precision Thrust
1 4
1 4,839
- -
0.0 6.9
over 2 years ago 5 months ago
C++ C++
- 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.

precision

Posts with mentions or reviews of precision. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-04.

Thrust

Posts with mentions or reviews of Thrust. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-17.
  • AMD's CDNA 3 Compute Architecture
    7 projects | news.ycombinator.com | 17 Dec 2023
    this is frankly starting to sound a lot like the ridiculous "blue bubbles" discourse.

    AMD's products have generally failed to catch traction because their implementations are halfassed and buggy and incomplete (despite promising more features, these are often paper features or career-oriented development from now-departed developers). all of the same "developer B" stuff from openGL really applies to openCL as well.

    http://richg42.blogspot.com/2014/05/the-truth-on-opengl-driv...

    AMD has left a trail of abandoned code and disappointed developers in their wake. These two repos are the same thing for AMD's ecosystem and NVIDIA's ecosystem, how do you think the support story compares?

    https://github.com/HSA-Libraries/Bolt

    https://github.com/NVIDIA/thrust

    in the last few years they have (once again) dumped everything and started over, ROCm supported essentially no consumer cards and rotated support rapidly even in the CDNA world. It offers no binary compatibility support story, it has to be compiled for specific chips within a generation, not even just "RDNA3" but "Navi 31 specifically". Etc etc. And nobody with consumer cards could access it until like, six months ago, and that still is only on windows, consumer cards are not even supported on linux (!).

    https://geohot.github.io/blog/jekyll/update/2023/06/07/a-div...

    This is on top of the actual problems that still remain, as geohot found out. Installing ROCm is a several-hour process that will involve debugging the platform just to get it to install, and then you will probably find that the actual code demos segfault when you run them.

    AMD's development processes are not really open, and actual development is silo'd inside the company with quarterly code dumps outside. The current code is not guaranteed to run on the actual driver itself, they do not test it even in the supported configurations.

    it hasn't got traction because it's a low-quality product and nobody can even access it and run it anyway.

  • Parallel Computations in C++: Where Do I Begin?
    3 projects | /r/learnprogramming | 23 Sep 2022
    For a higher level GPU interface, Thrust provides "standard library"-like functions that run in parallel on the GPU (Nvidia only)
  • What are some cool modern libraries you enjoy using?
    32 projects | /r/cpp | 18 Sep 2022
    For GPGPU, I like thrust. C++-idiomatic way of writing CUDA code, passing between host and device, etc.
  • A vision of a multi-threaded Emacs
    7 projects | /r/emacs | 20 May 2022
    Users should work with higher level primitives like tasks, parallel loops, asynchronous functions etc. Think TBB, Thrust, Taskflow, lparallel for CL, etc.

What are some alternatives?

When comparing precision and Thrust you can also consider the following projects:

stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU

CUB - THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.

doctest - The fastest feature-rich C++11/14/17/20/23 single-header testing framework

ArrayFire - ArrayFire: a general purpose GPU library.

Boost.Compute - A C++ GPU Computing Library for OpenCL

HPX - The C++ Standard Library for Parallelism and Concurrency

moodycamel - A fast multi-producer, multi-consumer lock-free concurrent queue for C++11

Taskflow - A General-purpose Task-parallel Programming System using Modern C++

moderngpu - Patterns and behaviors for GPU computing

NCCL - Optimized primitives for collective multi-GPU communication

libcds - A C++ library of Concurrent Data Structures

libcudacxx - [ARCHIVED] The C++ Standard Library for your entire system. See https://github.com/NVIDIA/cccl

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Did you konow that C++ is
the 6th most popular programming language
based on number of metions?