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cpp-taskflow - Fast C++ Parallel Programming with Task Dependency Graphs

  •    C++

A fast C++ header-only library to help you quickly build parallel programs with complex task dependencies. Cpp-Taskflow lets you quickly build parallel dependency graphs using modern C++17. It supports both static and dynamic tasking, and is by far faster, more expressive, and easier for drop-in integration than existing libraries.

oneTBB - oneAPI Threading Building Blocks (oneTBB)

  •    C++

oneAPI Threading Building Blocks (oneTBB) lets you easily write parallel C++ programs that take full advantage of multicore performance, that are portable, composable and have future-proof scalability. Here are Release Notes and System Requirements.

tbb - Official Intel(R) Threading Building Blocks (Intel TBB) GitHub repository.

  •    C++

Intel(R) Threading Building Blocks (Intel(R) TBB) lets you easily write parallel C++ programs that take full advantage of multicore performance, that are portable, composable and have future-proof scalability. Here are the latest Changes and Release Notes (contains system requirements and known issues).

flowgraph - Ready-send coordination layer on top of goroutines.

  •    Go

Go (Golang) offers direct support for concurrent programming with goroutines, channels, and the select statement. Used together they offer all the building blocks necessary for programming across many cores and many Unix boxes. But so much is possible with goroutines that constructing scaleable and reliable systems (that won't deadlock or be throttled by bottlenecks) requires the application or invention of additional concepts.Flowgraphs are a distinct model of concurrent programming that augment channels with ready-send handshake mechanisms to ensure that no data is sent before the receiver is ready. MPI (a framework for supercomputer computation) directly supports flowgraph computation, but doesn't address flow-based computation within a single Unix process. Go with its goroutines (more efficient than threads according to Rob Pike) facilitates taking the MPI model down to whatever granularity the concurrent programmer wants.




fgbase - Ready-send coordination layer on top of goroutines.

  •    Go

Go (Golang) offers direct support for concurrent programming with goroutines, channels, and the select statement. Used together they offer all the building blocks necessary for programming across many cores and many Unix boxes. But so much is possible with goroutines that constructing scaleable and reliable systems (that won't deadlock or be throttled by bottlenecks) requires the application or invention of additional concepts. Flowgraphs are a distinct model of concurrent programming that augment channels with ready-send handshake mechanisms to ensure that no data is sent before the receiver is ready. MPI (a framework for supercomputer computation) directly supports flowgraph computation, but doesn't address flow-based computation within a single Unix process. Go with its goroutines (more efficient than threads according to Rob Pike) facilitates taking the MPI model down to whatever granularity the concurrent programmer wants.






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