Parallel computing is the fundamental concept that, along with advanced semiconductors, has ushered in the generative-AI boom.

Nvidia chief executive Jen-Hsun Huang talks about his firm's role in the rise of parallel GPU computing and where the technology is heading ...

What is CUDA programming, exactly? According to Nvidia, CUDA is a parallel computing platform and programming model that enables developers to write code and build applications on Nvidia's GPUs.

At Nvidia's GPU Technology Conference, CEO and co-founder Jen-Hsun Huang offered a glimpse of the company's GPU roadmap and touted the growth of its CUDA parallel computing architecture.

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

Unlike CPUs, GPUs contain thousands of small cores that can process multiple tasks simultaneously, making them highly efficient for parallel computing.

When I wrote about password guessing using GPUs last week, I mentioned that password guessing is an embarrassingly parallel problem, right up there with 3-D rendering, face recognition, Monte ...

AWS announces P2 instances, a new GPU instance type for Amazon EC2 designed for artificial intelligence, high-performance computing and big data proce ...