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 ...

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

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 ...

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 ...

The ability to execute code in parallel is crucial in a wide variety of scenarios. Concurrent programming is a key asset for web servers, producer/consumer models, batch number-crunching and pretty ...

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 ...

You will not get the automatic speedup for your software when you upgrade to a new computer, since the frequency scaling is virtually stopped, and you only get more ...