So while this approach is applicable to any programming language, it only addresses some parallel-programming chores. For other chores, there’s the Parallel Computing Toolbox.

In the past, the CPU was the undisputed center of computing. But today, the GPU has taken that crown—not by replacing the CPU ...

Nvidia has unveiled a new compiler source code to add new languages to its parallel programming and boost the adoption of GPUs.

Chemical process simulations are crucial for optimizing industrial operations, but they often require significant ...

In those cases, you need to go ahead and write your own code. When you are involved with heavy-duty scientific computing, you usually need to go to parallel computing in order to get the runtimes down ...

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.

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, and OpenACC, is used in high-performance computing in the fields of bioinformatics, quantum chemistry, astrophysics and more. “The model was made to ensure that scientists spend ...

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