Stanford University, in conjunction with Sun, AMD, NVIDIA, IBM, Intel, and HP, is working to create a new computing model that fully exploits modern, multicore processing. As a feature in Ars Technica ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Today NVIDIA let it be known that they've named Stanford University a CUDA Center of Excellence for their work in parallel computing research using NVIDIA GPUs and NVIDIA CUDA technology. NVIDIA's ...

Nvidia Corp. said Wednesday it is a founding member of Stanford University's new Pervasive Parallelism Lab. Santa Clara-based Nvidia (NASDAQ: NVDA) did not disclose the amount of funding it provided.

Parallel computing is hard. Nothing new about that—it has been hard for the last four decades—but it used to be only the NSA and the occasional university who cared; parallel computers weren't cheap ...

Stanford University and a consortium of technology companies are announcing a joint effort to build a Pervasive Parallelism Lab. The initiative pools the efforts of many Stanford computer scientists ...