LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...

First, let's start with a quick summary of the Nvidia story so far. The company has a long history of GPU expertise, with this chip first serving the gaming market. Nvidia still makes GPUs for gaming, ...

The story so far: In 1999, California-based Nvidia Corp. marketed a chip called GeForce 256 as “the world’s first GPU”. Its purpose was to make videogames run better and look better. In the 2.5 ...

While it may be the most obvious choice, it's just too hard to pass on Nvidia (NVDA +2.66%). Nvidia's lineup of graphics processing units (GPUs) and CUDA software stack have become the default ...

Template Image Processing Library (TIPL) is a lightweight C++ template library designed mainly for high-performance medical image processing. TIPL provides image containers, numerical routines, image ...

This project demonstrates the practical application of GPU parallelism for image processing through a complete implementation of image filters in CUDA/PyCUDA. The system provides empirical evidence of ...

AMD is hoping to win over artificial intelligence (AI) developers in Asia-Pacific with its open software ecosystem and help the region compete on a global stage without relying on proprietary AI ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

A team at Stanford has shown that large language models can automatically generate highly efficient GPU kernels, sometimes outperforming the standard functions found in the popular machine learning ...

Blurry photos? You might not have focused the camera on the object you wanted to capture. Or your hands may have shaken a little while hitting that capture button. But how to fix them? Out of focus ...