Thrust
oneTBB
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Thrust | oneTBB | |
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4 | 14 | |
4,839 | 5,298 | |
- | 2.2% | |
6.9 | 8.7 | |
3 months ago | 5 days ago | |
C++ | C++ | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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.
Thrust
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AMD's CDNA 3 Compute Architecture
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.
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Parallel Computations in C++: Where Do I Begin?
For a higher level GPU interface, Thrust provides "standard library"-like functions that run in parallel on the GPU (Nvidia only)
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What are some cool modern libraries you enjoy using?
For GPGPU, I like thrust. C++-idiomatic way of writing CUDA code, passing between host and device, etc.
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A vision of a multi-threaded Emacs
Users should work with higher level primitives like tasks, parallel loops, asynchronous functions etc. Think TBB, Thrust, Taskflow, lparallel for CL, etc.
oneTBB
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Better use of threads
Use a library like https://github.com/oneapi-src/oneTBB
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Help installing EngineFixesVR
tbb
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Use CMake to build a submodule (dependency) and install to specific location?
I have a project that depends on Intel's oneTBB. My project is structured as follows:
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Task scheduler with CPU affinity
Intel TBB is still being maintained, it's just renamed to "OneAPI". The TBB part can be found here: https://github.com/oneapi-src/oneTBB
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Modern Software Development Tools and oneAPI Part 1
$ cd /tmp $ wget https://github.com/oneapi-src/oneTBB/releases/download/v2021.7.0/oneapi-tbb-2021.7.0-lin.tgz
- CK2 doesn't launch on macOS Ventura
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Parallel Computations in C++: Where Do I Begin?
For a more fully featured version of that idea with parallel algorithms and data structures, there are libraries like Thread Building Blocks.
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A vision of a multi-threaded Emacs
Users should work with higher level primitives like tasks, parallel loops, asynchronous functions etc. Think TBB, Thrust, Taskflow, lparallel for CL, etc.
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oneTBB VS MTL - a user suggested alternative
2 projects | 28 Feb 2022
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Can I use more threads in my program than the hardware supports?
Consider using oneAPI Threading Building Blocks instead of naked threads.
What are some alternatives?
CUB - THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.
tbb - oneAPI Threading Building Blocks (oneTBB) [Moved to: https://github.com/oneapi-src/oneTBB]
ArrayFire - ArrayFire: a general purpose GPU library.
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
Boost.Compute - A C++ GPU Computing Library for OpenCL
MTL - Multi Thread Library
HPX - The C++ Standard Library for Parallelism and Concurrency
Lazy - Light-weight header-only library for parallel function calls and continuations in C++ based on Eric Niebler's talk at CppCon 2019.
moodycamel - A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
freedesktop-sdk
emacs-async - Simple library for asynchronous processing in Emacs