It's also interesting to note that this programming model is currently being used in more than 10,000 programs for applications such as large-scale graph processing, text processing or data mining.

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

A new open-source library by Nvidia could be the secret ingredient to advancing analytics and making graph databases faster. The key: parallel processing on Nvidia GPUs.

HAMBURG, Germany, June 10, 2025--NextSilicon has joined the OpenMP ARB, a group of leading vendors and research organizations, creating standard shared-memory parallel programming.

In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most distributed and parallel graph algorithms in the MPC model are designed for static ...

Parallel programming software developed at the Barcelona Supercomputing Center is being used as part of a successful kickstarter campaign for a maker board with 10 times the power of the Rasberry PI 3 ...

Through a parallel programming model, multiple quantum computing devices can collaborate, greatly enhancing the overall computation speed.

According to Nvidia, the new compiler source code "opens up" its CUDA parallel programming platform, allowing developers to more easily add GPU support for more programming languages.

In this paper, the authors present a survey of the different parallel programming models and tools available today with special consideration to their suitability for high performance computing.

SiFive, the high-performance embedded systems platform company, joins the OpenMP ARB in creating the standard for the parallel programming model.

Intel Parallel Studio XE 2018 is the latest version of Intel’s comprehensive tool suite for modernizing software on Intel® architectures. In honor of its release, we’ve included several ...