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. ...

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

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.