Search Results for "pthreads-2.8.0"

...If you followed previous steps to use virtualenv to install tensorflow, you can just activate the virtualenv. Currently, AutoKeras is only compatible with Python >= 3.7 and TensorFlow >= 2.8.0. AutoKeras supports several tasks with extremely simple interface. AutoKeras would search for the best detailed configuration for you. Moreover, you can override the base classes to create your own block.

...It offers reader-writer locks, condition variables, run-once initialization, waitable counters, and waitable bits for coordination and cancellation between threads. Unlike traditional pthreads-based synchronization, nsync introduces conditional critical sections, allowing developers to wait for arbitrary conditions without explicit signaling or complex loop-based logic. This approach simplifies concurrency management and often improves readability and maintainability of multithreaded code. The library emphasizes efficiency, with locks and condition variables occupying minimal memory and supporting cancellation mechanisms through nsync_note objects rather than thread-level cancellation. ...

...The two are not compatible and in order to build and run PThreads4W (formerly PThreads-WIn32) MinGW64 must be installed without win32pthreads. If you want or need to build and run with PThreads4W then you need to choose win32 threading instead of POSIX when you install MinGW64 to not install the conflicting winpthreads include and library files.

A thread pool library that uses a context so a program may utilize more than one thread pool at a time. A hook allows your program to determine the number of free threads before attempting to launch one. This library has seen successful use in a range of server daemons and client daemons.

This is a simple implementation of thread pool written in C. The implementation is based on POSIX pthreads.

Pthread Pool is a lightweight, efficient thread pool implemented entirely using the Pthreads API.

...The project can be compiled using Visual Studio 2008 or higher (the project is incompatible with Windows older than Vista or Server 2008) and also supposed to be able with any Unix system with native PThreads support.

A simple-to-use and lightweight multithreading and synchronisation library for C++. Currently it should work on Microsoft Windows (all features on Windows 2000 or later) and any platform including a working pthreads implementation.