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 ...

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 ...

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 ...

High Performance Computing (HPC) and parallel programming techniques underpin many of today’s most demanding computational tasks, from complex scientific simulations to data-intensive analytics. This ...

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 ...

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 ...