How do you choose the best parallel programming model for your problem domain? In this article, you will learn about four common parallel programming models: shared memory, message passing, data ...

Intel's James Reinders presents some recurring themes for developers looking to improve their game when it comes to programming parallel systems Written by James Reinders, ContributorSept. 10 ...

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

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 ...

Two Google Fellows just published a paper in the latest issue of Communications of the ACM about MapReduce, the parallel programming model used to process more than 20 petabytes of data every day ...

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 ...

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 ...

Reinders said. He added that he believes parallel programming may lead to new companies attacking problems with new approaches to compete with existing businesses. Exploiting Parallelism ...