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 ...
American company will pay the sum to settle authors’ copyright claims over pirated books, marking the largest recovery in US copyright history. IBM and USTA launched AI features at the 2025 US Open, ...
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.
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 ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Bill Dally recently made the jump from head of the computer science ...
Task parallelism is perhaps the most general approach to parallel processing. In task parallel programs, different operations (i.e., tasks) are performed simultaneously; sometimes the tasks operate on ...
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 ...
SUNNYVALE, Calif.--(BUSINESS WIRE)--The HPC Advisory Council, a leading organization for high-performance computing research, outreach and education, today announced the HPC Advisory Council Stanford ...
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