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 ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

PARALLEL DEBUGGING Debugging needs to be addressed regardless of the parallel programming approach. Existing debuggers are simply the starting point, because most don’t address many of the features ...

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 ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...