|about 1 month ago||4 days ago|
|BSD 3-clause "New" or "Revised" License||Boost Software License 1.0|
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.
9 projects | news.ycombinator.com | 27 Apr 2023
Loads of people have stated why easy GPU interfaces are difficult to create, but we solve many difficult things all the time.
Ultimately I think CPUs are just satisfactory for the vast vast majority of workloads. Servers rarely come with any GPUs to speak of. The ecosystem around GPUs is unattractive. CPUs have SIMD instructions that can help. There are so many reasons not to use GPUs. By the time anyone seriously considers using GPUs they're, in my imagination, typically seriously starved for performance, and looking to control as much of the execution details as possible. GPU programmers don't want an automagic solution.
So I think the demand for easy GPU interfaces is just very weak, and therefore no effort has taken off. The amount of work needed to make it as easy to use as CPUs is massive, and the only reason anyone would even attempt to take this on is to lock you in to expensive hardware (see CUDA).
For a practical suggestion, have you taken a look at https://arrayfire.com/ ? It can run on both CUDA and OpenCL, and it has C++, Rust and Python bindings.
[D] Deep Learning Framework for C++.
7 projects | /r/MachineLearning | 12 Jun 2022
Low-overhead — not our goal, but Flashlight is on par with or outperforming most other ML/DL frameworks with its ArrayFire reference tensor implementation, especially on nonstandard setups where framework overhead matters
[D] Neural Networks using a generic GPU framework
2 projects | /r/MachineLearning | 4 Jan 2022
Looking for frameworks with Julia + OpenCL I found array fire. It seems quite good, bonus points for rust bindings. I will keep looking for more, Julia completely fell off my radar.
Does anyone know any good open source project to optimize?
8 projects | /r/cpp | 7 Jun 2023
Looking for projects to contribute to
16 projects | /r/cpp | 25 Apr 2023
What are some C++ projects with high quality code that I can read through?
2 projects | /r/learnprogramming | 16 Jan 2023
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.
Any C++ open source projects for beginners?
3 projects | /r/cpp | 16 Jan 2023
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 ;)
Questions about writing my own CFD code
3 projects | /r/CFD | 1 Nov 2022
I found this interesting library that might fit your goal.
John "God" Carmack: C++ with a C flavor is still the best (also: Python performance "keeps hitting me in the face")
5 projects | /r/cpp | 21 Aug 2022
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.
Is there any good reason not to build an open-source C++ project on Intels oneTBB?
3 projects | /r/cpp | 15 Aug 2022
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.
How to publish a paper about my own C++ software
4 projects | /r/cpp | 13 May 2022
Would anyone be interested in an HPC coroutine library for MPI?
4 projects | /r/cpp | 7 Oct 2021
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.
Looking for Approachable Open Source Projects to Contribute to
12 projects | /r/cpp | 2 Feb 2021
I come from a group called STE||AR where we develop HPX, "a C++ Standard Library for Parallelism and Concurrency".
What are some alternatives?
Thrust - [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
Boost.Compute - A C++ GPU Computing Library for OpenCL
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
VexCL - VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP
CUB - THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
RaftLib - The RaftLib C++ library, streaming/dataflow concurrency via C++ iostream-like operators
moderngpu - Patterns and behaviors for GPU computing
libcds - A C++ library of Concurrent Data Structures