Successful parallel programming Intel's James Reinders presents some recurring themes for developers looking to improve their game when it comes to programming parallel systems ...

Intel and Sun say that parallel programming is about to go mainstream.

Both parallel programming and asynchronous programming are examples of concurrent programming, meaning more than one operation is running at the same time. Parallel programming is a more specific form ...

In "Waking Up Multi-Core Processors," I explained how programming toolkits can make parallel programming easier for certain classes of applications.

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 ...

Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example ...

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 the task-parallel model represented by OpenMP, the user specifies the distribution of iterations among processors and then the data travels to the - Read more from Inside HPC & AI News.

Intel's James Reinders presents some recurring themes for developers looking to improve their game when it comes to programming parallel systems ...