Nvidia earlier this month unveiled CUDA Tile, a programming model designed to make it easier to write and manage programs for GPUs across large datasets, part of what the chip giant claimed was its ...

Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. Unified memory has a ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

In Nvidia’s decade and a half push to make GPU acceleration core to all kinds of high performance computing, a key component has been the CUDA parallel computing platform that made it easier for ...

An AMD executive said the firm embraces open source to tackle GPU shortages and challenge Nvidia. Nvidia controls over 70% of the AI chip market, leveraging its closed CUDA software. Meta and ...

Quick background- I have a subsurface fluid flow simulation tool that I wrote several years ago. From it, I started up a consultancy company, which is finally paying the bills. The algorithms lend ...

Have you wanted to get into GPU programming with CUDA but found the usual textbooks and guides a bit too intense? Well, help is at hand in the form of a series of increasingly difficult programming ...

The new Moore Threads MTT S4000 AI GPU features MTLink 1.0, which is a new multi-GPU connector that we don't have photos of, but it sounds similar to NVIDIA's in-house NVLink connector. The new MTT ...

We all know CUDA is currently king of the hill when it comes to GPGPU & ML in particular, and that CUDA is an NVIDIA product limited to NVIDIA hardware, and that Apple & NVIDIA “don’t get along” i.e.

[OPINION/INSIGHT ARTICLE] The surging demand for supercomputing power, driven by the insatiable appetite of AI/ML, big data analytics, and scientific research, has driven the HPC industry to push the ...