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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Lily Mara explains how to avoid high-risk ...

Take advantage of lock-free, thread-safe implementations in C# to maximize the throughput of your .NET or .NET Core applications. Parallelism is the ability to have parallel execution of tasks on ...

Concurrent and parallel systems span from tightly integrated multicore and many-core processors to distributed clusters and cloud infrastructures. At the hardware level, advances in pipelining, ...

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 ...

Parallelism used to be the domain of supercomputers working on weather simulations or plutonium decay. It is now part of the architecture of most SoCs. But just how efficient, effective and widespread ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Christine Lemmer-Webber and David Thompson ...

This book shows intermediate-level .NET developers how to make their applications faster and more responsive with parallel programming and concurrency in .NET and C# with practical examples. Alvin ...

Concurrency adds complexity for which the industry lacks appropriate tools, and the problem has grown to the point where errors can creep into designs with no easy or consistent way to detect them. In ...