Recently, I had the good fortune to present a class at the ACM Conference for Computer Science Educators (SIGCSE). While I definitely shared my enthusiasm for parallel programming, I had two key goals ...

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 ...

I just recently finished reading Introduction to Concurrency in Programming Languages, one of the entries in CRC’s incredibly active Computational Science Series (“Incredibly active?” Yes: the series ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Transactional memory systems represent a paradigm shift in concurrent programming by abstracting low-level lock management and enabling sequences of operations to be executed as atomic transactions.

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

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 ...

Functional Programming has been around for quit e some time. Its characteristic features include high order functions, lazy evaluation, side-effect freeness, etc. These characteristics are ...

The difference between distributed computing and concurrent programming is a common area of confusion as there is a significant amount of overlap between the two when you set out to accomplish ...