The Seeker quantum processor from Quantum Circuits now supports Nvidia's CUDA-Q, enabling developers to combine quantum ...

Programmers have been interested in leveraging the highly parallel processing power of video cards to speed up applications that are not graphic in nature for a long time. Here, I explain how to do ...

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...

Quantum Circuits, Inc., announced an integration with NVIDIA’s hybrid quantum-classical platform, NVIDIA CUDA-Q, - Read more ...

The University of Illinois at Urbana-Champaign (UIUC) has been named Nvidia's first CUDA "Center of Excellence" for adopting parallel computing strategies and applying them to research. The university ...

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 a move that shouldn't be that surprising, NVIDIA has announced that its popular CUDA platform is being ported to x86. The obvious angle here is that this will give NVIDIA a weapon against OpenCL ...

Over at the Nvidia blog, Mark Harris has posted a simple introduction to CUDA, the popular parallel computing platform and programming model from NVIDIA. I wrote a previous “Easy Introduction” to CUDA ...

NVIDIA TAPS PROCESSING POWER OF GEFORCE GPUS FOR MORE THAN GRAPHICS New Consumer Application Pack Uses NVIDIA CUDA Technology to Improve Performance Beyond Graphics on NVIDIA GeForce GPUs SANTA CLARA, ...