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

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 ...

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 ...

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 ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

Microsoft announced last week a new version of its Robotics Developer Studio (RDS) suite. Company officials emphasized the fact Microsoft is making the R3 version of RDS available freely to all -- ...

Take advantage of lock-free, thread-safe implementations in C# to maximize the throughput of your .NET or .NET Core applications. Parallelism is the ability to have parallel execution of tasks on ...

This is a preview. Log in through your library . Abstract Much is known about the importance of dynamic capabilities. Yet, surprisingly little is known about how multiple dynamic capabilities might be ...