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 ...

Parallel programming exploits the capabilities of multicore systems by dividing computational tasks into concurrently executed subtasks. This approach is fundamental to maximising performance and ...

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 ...

In this video, Kathleen Knobe from Intel presents: Concurrent Collections (CnC): A New Approach to Parallel Programming. Instead of viewing the language design problem as one of providing the ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

Memory models offer the formal frameworks that define how operations on memory are executed in environments with concurrent processes. By establishing rules for the ordering and visibility of memory ...

I'm wondering if anyone has any recommendations for good resources to learn parallel/concurrent/multicore programming. I know this is a pretty damn vague question, so bear with me. I've been a ...

Behind games and entertainment, training and education and branded experience were most common use cases for augmented reality (AR), virtual reality (VR), and mixed reality. As Facebook explains, the ...

One size does not fit all, and it never will. Parallel programming looks to level the playing field by leveraging multicore hardware. It was easy to program applications in the days when one chip, one ...

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 ...