In the timer_handler function, the return value of boost::fibers::detail::scheduler::instance ()->next_wakeup () has to be converted from boost::chrono::time_point to std::chrono::time_point before passing it as a parameter to Asio's timer.expires_at (). I used a conversion based on to_time_t and from_time_t methods.

A multitude of accelerator back-end variants using CUDA, OpenMP (2.0/4.0), Boost.Fiber, std::thread and also serial execution is provided and can be selected depending on the Further information: https://github.com/alpaka-group/alpaka

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I have been looking into boost::fibers as a method for dealing with some of my problems with data processing and IO. The shared_work scheduler in particular looks promising because it would let me spin up one data processing task for every data processing source and then let them distribute each other as needed across a few threads.. However this brings me to the source of my question: It

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I executed following command to compile simple.cpp userland threads.
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However this brings me to the source of my question: It Ok, there were a couple of things I missed, first, my conclusion was based on misunderstanding of how stuff works in boost::fiber The line in the constructor mentioned in the question bf::use_scheduling_algorithm(2); was installing the scheduler in the thread where the GreenExecutor instance was created (in the main thread) so, when launching two worker fibers I … boost_1_71_0-rc1. GitHub Gist: instantly share code, notes, and snippets. Boost.Fiber provides a framework for micro-/userland-threads (fibers) scheduled cooperatively.
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Datamining GitHub: Examining Time-to-solve for issues in relation to size distribution of fiber bundles2001Ingår i: Physics Letters A, ISSN 0375-9601, E-ISSN

The API contains classes and functions to manage github.com/boostorg/boost · Edit this at Wikidata. Written in, C++ · Operating system · Cross-platform · Type · Libraries · License, Boost Software License.