HPX
CppCoreGuidelines
HPX | CppCoreGuidelines | |
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15 | 307 | |
2,419 | 41,562 | |
0.6% | 0.7% | |
9.8 | 7.6 | |
3 days ago | 17 days ago | |
C++ | Python | |
Boost Software License 1.0 | GNU General Public License v3.0 or later |
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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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Getting started with first HPC project
You definitely do not want to learn Boost, trust me. The cudatoolkit is fine, HPX is great, so are Dask, and Ray. I do not recommend MPI unless those computers you have use InfiniBand.
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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.
CppCoreGuidelines
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Are We Modules Yet?
If you aren't aware of the c++ core guidelines[1] - it should be on your radar.
Also, it might not be a popular opinion, but I think Bjarne's books are just fine.
A Tour of C++ (3rd edition) [2]
Principles and Practice Using C++ (3rd Edition) was just published in april 2023 [3]
[1] https://github.com/isocpp/CppCoreGuidelines/blob/master/CppC...
- Learn Modern C++
- C++ Core Guidelines
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Modern C++ Programming Course
You need to talk to Bjarne and Herb...
"C++ Core Guidelines" - https://isocpp.github.io/CppCoreGuidelines/CppCoreGuidelines
- CLion Nova Explodes onto the C and C++ Development Scene
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Toward a TypeScript for C++"
In addition to the other comments -
TypeScript deliberately takes a "good enough" approach to improving JavaScript, instead of designing an ideal but incompatible approach. For example, its handling of [function parameter bivariance](https://www.typescriptlang.org/docs/handbook/type-compatibil...) is unsound but works much better with the existing JavaScript ecosystem. By contrast, a more academic functional programming language would guarantee a sound type system but would be a huge shift from JavaScript.
By analogy, Herb Sutter is arguing that something like the [C++ Core Guidelines](https://isocpp.github.io/CppCoreGuidelines/CppCoreGuidelines), with tooling help in this new Cpp2 syntax, can bring real improvements to safety. Something like Rust's borrow checker would bring much stricter guarantees, backed by academic research and careful design, but would be incompatible and a huge adjustment.
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MechE student here. Is there benefit to learning C in addition to C++, or can one do everything with C++ that can be done with C?
https://www.youtube.com/watch?v=2olsGf6JIkU
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C++ is everywhere, but noone really talks about it. What are people's thoughts?
Take a look at Effective Modern c++ by Scott Meyers and the ISO c++ core guidelines. These resources are great for learning how to write better, more modern C++. I don't think it would be hard to grasp if you're already familiar with the language, just make sure to actually write some code which makes use of this stuff, otherwise it's easy to forget.
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What are some C++ specific antipatterns that might be missed by C#/Java devs?
Look to the C++ Core Guidelines. It's not perfect, it has some flaws, including some sabotaging advice apparently adopted for political reasons. But at least it has some C++ authorities (Bjarne and Herb) as authors.
What are some alternatives?
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
Crafting Interpreters - Repository for the book "Crafting Interpreters"
Thrust - [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
github-cheat-sheet - A list of cool features of Git and GitHub.
RaftLib - The RaftLib C++ library, streaming/dataflow concurrency via C++ iostream-like operators
LearnOpenGL - Code repository of all OpenGL chapters from the book and its accompanying website https://learnopengl.com
libcds - A C++ library of Concurrent Data Structures
git-internals-pdf - PDF on Git Internals
Boost.Compute - A C++ GPU Computing Library for OpenCL
Power-Fx - Power Fx low-code programming language
ArrayFire - ArrayFire: a general purpose GPU library.
clojure-style-guide - A community coding style guide for the Clojure programming language