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 ...

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 ...

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

Programming challenges are biggest when the application and the implementation architecture are orthogonal. Application-specific architectures offer little opportunity for software to be a ...

For example, an engineer may develop a real-time embedded control system at the same time as its human-machine interface. Maybe the system also has a computation-intensive task such as high-speed ...

Hi, I’m James Reinders and we’re back with part two on Threading Building Blocks which is a C++ template library that provides everything that we would need to take up an application and make it run ...

In the task-parallel model represented by OpenMP, the user specifies the distribution of iterations among processors and then the data travels to the computations. In data-parallel programming, the ...

Language Integrated Query, also known as LINQ, is a query execution pipeline that adds query capabilities to languages targeted at the managed environment of .Net. Parallel LINQ, or PLINQ, is a query ...