At many universities, including UD, the computer science curriculum includes at least one mandatory course on parallel programming. “It’s important to train the next generation of scientists on how to ...

CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on its own GPUs (graphics processing units).CUDA enables developers to speed up compute ...

In this video, Michael Wolfe from PGI begins a series of tutorials on parallel programming. This is the first in a series ... languages and compilers for high-performance and parallel computers in ...

A research paper on the landscape of parallel computing published ... is mirrored in the FPGA logic and runs on dedicated silicon. In this scenario, just as in programming LabVIEW for multicore ...

To take full advantage of multiple cores, software developers have to arrange their code in such a way that it is executable in parallel – an error-prone and expensive task. Computer scientists ...

In other words, it facilitates the programming of parallel computing systems and, Nvidia said, will accelerate the path to exascale computing. "We moved to a new open-source infrastructure called ...

Difficulties in programming the code supercomputers run on is becoming one of the biggest productivity killers of engineering and scientific discovery, according to a new survey from the Simon ...

But that raises a new problem: how to put those tiny side-by-side computer engines to good use. The operating systems aren't set up for it. Neither are the programming languages and development tools.

The chips in most modern desktop computers have four "cores," or processing units, which can run different computational tasks in parallel. But the chips of the future could have dozens or even ...

Every light switch in your house operates in parallel with the others. There’s a new edition of a book, titled Parallel Programming ... that it is compiling to logic gates, not lines of ...