The San Diego Supercomputing Center (SDSC) will double the number of GPUs on Comet, a two-petaflop supercomputer that came online in 2015. The new coprocessors are being added in response to a growing demand for GPU computing by researchers using the system.
Diagnosing disease is one of the more labor-intensive aspects of the healthcare system. It also happens to be one that is particularly well-suited to being performed by machine learning algorithms. While work in this area is in its early stages, the technology is evolving rapidly and appears poised to transform diagnostic medicine.
The Jülich Supercomputing Center is gearing up to deploy a 5-petaflop “Booster” system to augment its existing 1.7-petaflop JURECA cluster. The supercomputer combo will be the first Cluster-Booster platform modeled after the EU’s DEEP and DEEP-ER research projects.