Propagating ThreadLocal to a new Thread fetched from a ExecutorService

The set of ThreadLocal instances associated with a thread are held in private members of each Thread. Your only chance to enumerate these is to do some reflection on the Thread; this way, you can override the access restrictions on the thread’s fields. Once you can get the set of ThreadLocal, you could copy in … Read more

c++ work queues with blocking

Well. That’s really quite simple; You’re rejecting the tasks posted! template< typename Task > void run_task(task task){ boost::unique_lock<boost::mutex> lock( mutex_ ); if(0 < available_) { –available_; io_service_.post(boost::bind(&tpool::wrap_task, this, boost::function< void() > ( task ))); } } Note that the lock “waits” until the mutex is not owned by a thread. This might already be the … Read more

Boost asio thread_pool join does not wait for tasks to be finished

The best practice is not to reuse the pool (what would be the use of pooling, if you keep creating new pools?). If you want to be sure you “time” the batches together, I’d suggest using when_all on futures: Live On Coliru #define BOOST_THREAD_PROVIDES_FUTURE_WHEN_ALL_WHEN_ANY #include <iostream> #include <boost/bind.hpp> #include <boost/asio.hpp> #include <boost/thread.hpp> uint64_t foo(uint64_t begin) … Read more

C# – ThreadPool vs Tasks

The objective of the Tasks namespace is to provide a pluggable architecture to make multi-tasking applications easier to write and more flexible. The implementation uses a TaskScheduler object to control the handling of tasks. This has virtual methods that you can override to create your own task handling. Methods include for instance protected virtual void … Read more

What’s the difference between ThreadPool vs Pool in the multiprocessing module?

The multiprocessing.pool.ThreadPool behaves the same as the multiprocessing.Pool with the only difference that uses threads instead of processes to run the workers logic. The reason you see hi outside of main() being printed multiple times with the multiprocessing.Pool is due to the fact that the pool will spawn 5 independent processes. Each process will initialize … Read more

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