PROCESSES and threads have one goal: Getting a computer to do more than one thing at a time. To do that, the processor (or processors) must switch smoothly among several tasks, which requires ...

The ability to execute code in parallel is crucial in a wide variety of scenarios. Concurrent programming is a key asset for web servers, producer/consumer models, batch number-crunching and pretty ...

You are probably accustomed to the idea that your smartphone can run more than one app at a time. Even if you are only used to seeing just one app in the foreground, you will have noticed that some ...

Python lets you parallelize workloads using threads, subprocesses, or both. Here's what you need to know about Python's thread and process pools and Python threads after Python 3.13. By default, ...

The title probably doesn't make a lot of sense, so let me lay out what I'm doing. I'm in the early stages of creating a framework for generating test data for a specific problem domain. One of the ...

Virtual threads introduce an abstraction layer between operating-system processes and application-level concurrency. Said differently, virtual threads can be used to schedule tasks that the Java ...

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...