Modern personal computing devices feature multiple cores. This is not only true for desktops, laptops, tablets and smartphones, but also for small embedded devices like the Raspberry Pi. In order to ...

Modern operating systems can support extraordinarily large volumes of users, but run into limitations with threads to support them due to CPU and memory constraints. Java historically has dealt with ...

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 ...

The Rust compiler front end can now use fine-grained parallelism to significantly reduce compile times. Currently experimental, the parallel front end is due in a stable compiler in 2024. Parallel ...

In part one of this article, we show how video applications present opportunities for multiple forms of parallelism. We then review the hardware and software approaches for exploiting these ...