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 ...

Learning how to do sequential computing, where one calculation is made after the other, is easy. Anyone who learns programmings gets that. Parallel programming, which empowers super-computing ...

The rise of fault-tolerant, distributed systems has led to greater programming complexity. Both Erlang and Elixir offer unique benefits for developing always-available and highly concurrent systems.

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 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 ...

Escape the single-threaded event loop in browsers and on the server. Here's how to use worker threads and web workers for modern multithreading in JavaScript. The JavaScript language is one of the ...

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 ...