It evolved from an earlier concept known as the Parallel Random-Access Machine/model (PRAM), which was an early attempt at parallel programming. The PRAM attempt was considered as having a great ...

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 ...

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

In January we gave NVIDIA’s CUDA (Compute Unified Device Architecture) software tools that allows C programmers to use multiple high-performance GPU cards to perform massively parallel computations ...

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 ...

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 ...

Programmers have been interested in leveraging the highly parallel processing power of video cards to speed up applications that are not graphic in nature for a long time. Here, I explain how to do ...

The widespread adoption of multi-core hardware is in many cases actually slowing down computing. A typical scenario: A company has a data-intensive software application and wants to make this software ...