HPX
Thrust
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HPX | Thrust | |
---|---|---|
15 | 4 | |
2,405 | 4,839 | |
2.9% | - | |
9.8 | 6.9 | |
about 20 hours ago | about 2 months ago | |
C++ | C++ | |
Boost Software License 1.0 | GNU General Public License v3.0 or later |
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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.
HPX
- Does anyone know any good open source project to optimize?
- Looking for projects to contribute to
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What are some C++ projects with high quality code that I can read through?
https://github.com/STEllAR-GROUP/hpx Modern C++ concepts incorporated in a threading library. Lots of useful techniques used in there and we are trying to keep our code base very tidy. Feel free to chime in our libera channel #ste||ar if you have any questions.
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Any C++ open source projects for beginners?
https://github.com/STEllAR-GROUP/hpx Welcoming community + we have been part of GSoC for 4-5 years now so feel free to apply there when it opens ;)
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Questions about writing my own CFD code
I found this interesting library that might fit your goal.
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John "God" Carmack: C++ with a C flavor is still the best (also: Python performance "keeps hitting me in the face")
I personally like the ideas in Parallelism v2 TS, which is available in for libstdc++ 11 onwards. The reference implementation is a library named Vc (afaik Vc is the most popular SIMD library for C++), and this has also been implemented in recent versions of HPX.
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Is there any good reason not to build an open-source C++ project on Intels oneTBB?
I am aware of DAGs of task based threading library like Taskflow and HPX however the benefit they have is not obvious to me, as the following sequential section depends on the parallel part being completed fully. If you want to suggest elaboration on the benefits of this approach would be welcome.
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How to publish a paper about my own C++ software
Github: https://github.com/STEllAR-GROUP/hpx
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Would anyone be interested in an HPC coroutine library for MPI?
We're working on something similar, but based on sender/receiver in HPX (a lightweight threading runtime) and DLA-Future (distributed linear algebra currently based on (HPX) futures; based on sender/receiver in the future). With senders-as-awaitables this would also get you coroutine support for asynchronous MPI calls for free. We don't have that yet, but it's planned. In the meantime libunifex should be able to fill in the gaps.
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Looking for Approachable Open Source Projects to Contribute to
I come from a group called STE||AR where we develop HPX, "a C++ Standard Library for Parallelism and Concurrency".
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.
What are some alternatives?
CUB - THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.
ArrayFire - ArrayFire: a general purpose GPU library.
Boost.Compute - A C++ GPU Computing Library for OpenCL
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
moodycamel - A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
moderngpu - Patterns and behaviors for GPU computing
RaftLib - The RaftLib C++ library, streaming/dataflow concurrency via C++ iostream-like operators
libcds - A C++ library of Concurrent Data Structures
NCCL - Optimized primitives for collective multi-GPU communication