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.
taskflow task-based-programming cpp17 parallel-programming threadpool concurrent-programming header-only flowgraph high-performance-computing multicore-programming multi-threading taskparallelism multithreadingconcurrencpp is a tasking library for C++ allowing developers to write highly concurrent applications easily and safely by using tasks, executors and coroutines. By using concurrencpp applications can break down big procedures that need to be processed asynchronously into smaller tasks that run concurrently and work in a co-operative manner to achieve the wanted result. concurrencpp also allows applications to write parallel algorithms easily by using parallel coroutines. concurrencpp is a task-centric library. A task is an asynchronous operation. Tasks offer a higher level of abstraction for concurrent code than traditional thread-centric approaches. Tasks can be chained together, meaning that tasks pass their asynchronous result from one to another, where the result of one task is used as if it were a parameter or an intermediate value of another ongoing task. Tasks allow applications to utilize available hardware resources better and scale much more than using raw threads, since tasks can be suspended, waiting for another task to produce a result, without blocking underlying OS-threads. Tasks bring much more productivity to developers by allowing them to focus more on business-logic and less on low-level concepts like thread management and inter-thread synchronization.
cpp scheduler coroutines concurrency tasks multithreading concurrent-programming asynchronous-programming threading await async-await task-scheduler thread-safety timers executor-service coroutine threadpool cpp20 executorsa) Change serial tasks into parallel tasks by adding task dependencies, so that we can run several tasks in the same time. b) Task execute guarantee: Call “TM.needTaskSync” before your business running. In order to make sure your tasks prerequisites are proper loaded.
android event parallel-tasks dependency threadpool taskmanager task-dispatcher data-passing serial-tasksA concise,practical async library for Android project,already was used in million devices
android async handler thread threadpool doinbackgroundThreadManager contains C# class to manage thread effectively with the ThreadPool implementation.it can be used in any .NET application . It is released as just C# class as Version 1.0. I will upload Demo application soon. Its really easy to use and tested. Use it or loose it.
asynchronous parallel thread threading threadmanager threadpoolThreading, concurrency, etc
asynchronous concurrency concurrent thread thread-pool threading threadpoolJavascript thread library. Uses web workers when run in browsers and child processes when run by node.js. Also supports browsers which do not support web workers.You don't have to write the thread's code inline. The file is expected to be a commonjs module (so something that uses module.exports = ...), for node and browser.
nodejs thread-pool web-worker isomorphic-javascript threads cluster child_process threadpool spawn fork parallelA polyfill for Task Worklet - a proposed API for defining and invoking coordinated, threadpooled background tasks with minimal transfer overhead. A lot of what we do in modern web applications touches the DOM in some way. Improving the performance of DOM-bound code is difficult because issues generally stem from layout and paint cost rather than actual script execution overhead. Task Worklet attempts to define a highly ergonomic way to offload all of the work an application needs to do that doesn't rely on the DOM, while making it incredibly easy to move data between the UI thread and background threads.
worker threading threadpool worker-pool worklet tasks task-worklet taskworklet threads multithreadingDeprecation notice: This package is near its end of life. Switch to threads.js instead. It provides the same features plus additional ones and is generally more awesome :) PS: If you feel different about it, feel free to open an issue.threadpool.js is aimed to be a general-purpose multi-threading library for Javascript. Its key features are portability and ease of use. The library can either be used in a stand-alone fashion or as a require.js module.
threadpool web-workerMaintain a pool of Web Workers with callbacks. Based on Ilmari Heikkinen's WorkCrew library. Easily wrap existing libraries in Web Worker functionality. Works in the browser and node.js. See the example folder for a demonstration of how the library should be used.
threads webworker pool threadpool threadI chose the BSD 2-clause license, so the library can be used in any project, however I'd appreciate any bug fix, pull request and comment. commonpp depends on Boost and TBB, a C++11 compiler and CMake to be built. It builds on Mac OS X and Linux. It probably build on *BSD but I did not test (yet).
counter metrics tbb reservoir graphite influxdb threadpool boostExecutor Service Metrics is currently available for Scala 2.10, 2.11 and 2.12. Supported releases and dependencies are shown below.
metrics threadpool executorservice kamon tracingpthreadpool is a pthread-based thread pool implementation. It is intended to provide functionality of #pragma omp parallel for for POSIX systems where OpenMP is not available.
threadpool multi-threading multi-core pthreadsGoSlaves is a simple golang's library which can handle wide list of tasks asynchronously and safely. Note that all of this benchmarks have been implemented as his owners recommends. More of this goroutine pools works with more than 4 goroutines.
asynchronous thread pool threadpool goroutine goroutine-pool fast concurrent contecurrency benchmarkScalable threadpool implementation using Go to handle the huge network trafic.
threadpool channels scalable scheduler futureWindows I/O Completion Port wrapper class for Delphi and Free Pascal
iocp delphi freepascal multithreading threadpoolAtomicThreadPool design for lock free, it does not wait for anyone, to wait for specified task to finished, client should pass the value to indicate it has done.
cross-platform asynchronous multithreading atomic-design jni lockfree threadpool
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