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.

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 ...

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, ...

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 ...