Computer scientists simplify parallel programming Date: March 12, 2015 Source: University Saarland Summary: Modern software takes computational speed for granted. But modern microprocessors can ...

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 ...

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

One size does not fit all, and it never will. Parallel programming looks to level the playing field by leveraging multicore hardware.

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

So what’s the difference? At a fundamental level, distributed computing and concurrent programming are simply descriptive terms that refer to ways of getting work done at runtime (as is parallel ...

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

Writing parallel code, programming efficiency, translation, debugging and the limits of high-performance computing software are the most frequently cited bottlenecks across all industries that use ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

The initiative builds on investments and inroads Microsoft has made in areas such as simplifying parallel programming, said S. Somasegar, senior president of the Microsoft developer division, in a ...