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 ...

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 ...

Jason Tatton, formerly an algorithmic trader at JP Morgan, has built a new programming language called Concurnas that he says can help the financial services industry tackle common problems with ...

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 ...

This is a hands-on training course to learn the basic parallel programming skills on High Performance Computing (HPC) environment. The following contents will be covered in the training: Multi-Process ...

From new features like async return types and advice on when to use the latest structures, here's Microsoft MVP Jason Bock's top tips for developers currently working with concurrent and asynchronous ...

CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on its own GPUs (graphics processing units).

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 ...

Memory Models and Consistency in Concurrent Programming Publication Trend The graph below shows the total number of publications each year in Memory Models and Consistency in Concurrent Programming.