libunifex
Taskflow
libunifex | Taskflow | |
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22 | 24 | |
1,366 | 9,577 | |
2.5% | 1.3% | |
7.6 | 7.9 | |
10 days ago | 11 days ago | |
C++ | C++ | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
libunifex
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Comparing asio to unifex
I'm curious what led you to this conclusion. If you ran into scalability issues with its static_thread_pool, then that's a known issue. If it's something else, the authors (of which I'm one) would love to know.
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How does one actually build a C++ project
Instead of calling add_executable you will call add_library. Here is a (only moderately complicated) production example of a library that can be built standalone (along with tests and example executables), or as a subproject, where it builds only the library
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How to write networking code now that will be easiest to adapt to the upcoming standard?
My original thought was to build my DDS implementation on top of libunifex in anticipation for standardization: https://github.com/facebookexperimental/libunifex
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Executors/libunifex example project
I'm trying to understand how to work with the proposed executors in a project, but after watching Eric Niebler's cppcon talks (https://youtu.be/xLboNIf7BTg) and looking at the libunifex examples (https://github.com/facebookexperimental/libunifex/tree/main/examples) I still have a hard time wrapping my head around how to employ the sender/receiver pattern in a larger project.
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Async/Await pattern in C++
You have coroutines in C++20 but there is also the executives proposal that's making it's way into C++23 that is available as a library under the name unifex that only requires C++14
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Using Asio for asynchronous gRPC clients and servers
Asio-grpc makes exactly that possible by providing an Asio execution_context compatible interface to the CompletionQueue. It supports all types of RPCs (including generic ones), completion tokens, cancellation, as well as libunifex sender/receiver (if you want to try out what might become std::execution). The latest release (v1.7.0) also introduced a GrpcStream class for writing Rust/Golang select-style code.
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My thoughts and dreams about a standard user-space I/O scheduler
P2300: they are trying to standardize facebookexperimental/libunifex
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"C++ makes it harder to shoot yourself, but when you do it blows your whole leg off"
All the network handling for Instagram and all other Meta apps on all platforms is handled by their own C++ library https://github.com/facebookexperimental/libunifex.
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State of the art for CPOs (customization points) in C++?
This. I'd also like to mention libunifex. It's entirely based on tag_invoke and is a testament as to how much power it actually provides. On the other hand, it also proves how cumbersome it is to define CPOs with tag_invoke. But IMO it's a lot better than anything else anyone has ever created, and users usually don't need to define new CPOs, only library writers do, so there's that.
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Why do we need networking, executors, linear algebra, etc in the Standard Library?
A work in progress implementation of the library: https://github.com/facebookexperimental/libunifex
Taskflow
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Improvements of Clojure in his time
For parallel programming nowadays, personally I reach for C++ Taskflow when I really care about performance, or a mix of core.async and running multiple load balanced instances when I’m doing more traditional web backend stuff in Clojure.
- Taskflow: A General-Purpose Parallel and Heterogeneous Task Programming System
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How to go from intermediate to advance in C++?
Also, you can take a look to good libraries. The problem is that very often libraries are heavily templated, so It could be hard. For example, I like the style of the Taskflow library, I think is very clear, is relatively small, while makes use of more advanced techniques: https://github.com/taskflow/taskflow
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gcl v1.1 released - Graph Concurrent Library for C++
Cool. Thanks! How does it compare to taskflow?
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std::execution from the metal up - Paul Bendixen - Meeting C++ 2022
I've not seen yet, but it's been a bit since I looked last, any evidence of being able to build a computation graph and "save" it to re-run on new inputs. Something like https://github.com/taskflow/taskflow
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Proper abstraction for this?
It seems you're describing something a generic parallel task framework. Check taskflow for a production ready example https://github.com/taskflow/taskflow/blob/master/
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That one technology, question, or skill you never learned, and now you are haunted by during every new job conversation...
- https://github.com/taskflow/taskflow (I recommend to learn it first since its API and documentation are excellent)
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Parallel Computations in C++: Where Do I Begin?
If you want some sort of "job" system, where you submit items to a some sort of queue to be processed in parallel, try searching for a thread pool - there isn't one in the standard library, but there's about a million implementations online. There are more complicated versions of that idea, that describe computation as a directed acyclic graph, such as taskflow.
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High level overview of my custom game engine
The tooling decisions affect engine design though. For example if you want to have visual representation of job graph as it happened in specific frame of interest you need to pass the information around about job relationships and output it to a tool of choice. For example see https://github.com/taskflow/taskflow
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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.
What are some alternatives?
cppcoro - A library of C++ coroutine abstractions for the coroutines TS
tbb - oneAPI Threading Building Blocks (oneTBB) [Moved to: https://github.com/oneapi-src/oneTBB]
concurrencpp - Modern concurrency for C++. Tasks, executors, timers and C++20 coroutines to rule them all
tensorflow - An Open Source Machine Learning Framework for Everyone
Restbed - Corvusoft's Restbed framework brings asynchronous RESTful functionality to C++14 applications.
HPX - The C++ Standard Library for Parallelism and Concurrency
corrade - C++11 multiplatform utility library
C++ Actor Framework - An Open Source Implementation of the Actor Model in C++
Boost.Beast - HTTP and WebSocket built on Boost.Asio in C++11
entt - Gaming meets modern C++ - a fast and reliable entity component system (ECS) and much more
Folly - An open-source C++ library developed and used at Facebook.
oneTBB - oneAPI Threading Building Blocks (oneTBB)