SPSCQueue.h VS Thrust

Compare SPSCQueue.h vs Thrust and see what are their differences.

SPSCQueue.h

A bounded single-producer single-consumer wait-free and lock-free queue written in C++11 (by rigtorp)

Thrust

[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl (by NVIDIA)
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SPSCQueue.h Thrust
1 4
829 4,839
- -
4.6 6.9
4 months ago 3 months ago
C++ C++
MIT License 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.
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SPSCQueue.h

Posts with mentions or reviews of SPSCQueue.h. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-28.
  • Notes on Concurrency Bugs
    3 projects | news.ycombinator.com | 28 May 2022
    A triple buffer is a good choice if all you want is polling the latest data at any given time, and you want to avoid mutexes altogether. If you want each piece of data to be delivered exactly once, you can use a queue (bounded or "unlimited" though the latter doesn't supply backpressure which I hear causes problems). SPSC lock-free bounded queues are dead simple to write, and can be tuned for higher throughput even with contention (https://github.com/rigtorp/SPSCQueue claims to be nice, and I haven't had issues working with it aside from having to peek and pop separately, but it's C++, and not a misuse-proof API since it doesn't use the "handles" idea I talked about, and you can push/read/pop from the wrong thread). If you want the reader to poll/WaitForMultipleObjects until the queue has items, that has to be done separately from the SPSC.

    And mutexes make a lot of things easier... and introduces "oops wrong mutex!" (Rust solves it) and deadlock (Rust doesn't solve it).

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 SPSCQueue.h and Thrust you can also consider the following projects:

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

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

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

ArrayFire - ArrayFire: a general purpose GPU library.

libdill - Structured concurrency in C

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

VexCL - VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP

Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System

libcds - A C++ library of Concurrent Data Structures