Concurrent and parallel systems form the bedrock of modern computational infrastructures, enabling vast improvements in processing speed, efficiency and scalability. By orchestrating multiple ...

The former lords of multiprocessing in the supercomputing realm have a term for problems that are easily decomposed for distribution to multiple processors. They call such problems “embarrassingly ...

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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 ...

There's a lot of confusion about async/await, Task/TPL and asynchronous and parallel programming in general, so Jeremy Clark is on a mission to inform developers on how to use everything properly.

Structured concurrency offers a more organized and more intuitive way of managing the lifetimes of asynchronous tasks. Here’s how to take advantage of it in C#. Modern programming languages such as C# ...

One particular frustration with the UNIX shell is the inability to easily schedule multiple, concurrent tasks that fully utilize CPU cores presented on modern systems. The example of focus in this ...

Operating parallel project tasks allows a project team to complete multiple steps at once and deliver a completed assignment within a short time frame. This strategy carries several disadvantages for ...