The difference between distributed computing and concurrent programming is a common area of confusion as there is a significant amount of overlap between the two when you set out to accomplish ...

Memory models offer the formal frameworks that define how operations on memory are executed in environments with concurrent processes. By establishing rules for the ordering and visibility of memory ...

From new features like async return types and advice on when to use the latest structures, here's Microsoft MVP Jason Bock's top tips for developers currently working with concurrent and asynchronous ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

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, ...

On August 20, Intel rolled out new parallel-processing tools that support Microsoft's concurrent runtime environment that is expected to become a central component of Redmond's next-generation ...

Learn how to use Python’s async functions, threads, and multiprocessing capabilities to juggle tasks and improve the responsiveness of your applications. If you program in Python, you have most likely ...

Turn ideas into impact with a degree in applied computing at the University of Wyoming. This concurrent major blends practical computing skills with domain-specific expertise, giving YOU the tools to ...