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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

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 ...

Lots more cores are coming -- but don't panic. Look for abstract programming methods pioneered by the MIT Cilk project to span to the future to address task parallelism, data parallelism and safety ...

One thing DDS systems do better than most parallel-programming environments is handle transient connections, because they support best-effort delivery. In many applications, it’s sufficient to retain ...

There's a lot of confusion about async/await, Task/TPL and asynchronous and parallel programming in general, so Jeremy Clark is on a mission to inform developers on how to use everything properly.

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...