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

Working in tandem, a quantum computer and a supercomputer modelled the behaviour of several molecules, paving the way for ...

The team designed a fully dynamic APSP algorithm in the MPC model with low round complexity that is faster than all the existing static parallel APSP algorithms.

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

NCAR was able to speed up the Weather Research & Forecasting Model by 20% by parallelizing one component of the model with NVIDIA CUDA software and a many-core GPU Computing Processor called Tesla.

In this video, Torsten Hoefler from ETH Zurich presents: Scientific Benchmarking of Parallel Computing Systems. "Measuring and reporting performance of parallel computers constitutes the basis for ...

After all, the human brain is itself a massively parallel computer; writing programs that can operate in parallel is the key to making computers that seem more like us and less like machines.

Today's computing infrastructure is built of complex networks of on-premises and cloud environments, often with limited access to resources and constrained purchase models.