The much-anticipated unification of Intel’s Xeon E3, E5 and E7 product lines is upon us. Starting with the upcoming “Skylake” datacenter chips, all Xeons will now fall under the new Xeon Scalable Processor (SP) family.
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.
Episode 169: Addison Snell and Michael Feldman discuss a new supercomputing application that could be used in a gerrymandering case before the Supreme Court, and a Russian attempt to display its HPC prowess backfires.
Huawei and Intel have signed a memorandum of understanding (MOU) to cooperate on high performance computing products and technology innovation. The MOU was made public at Hannover Messe, a conference that focuses on advanced industrial technology.
Silicon Valley startup Wave Computing announced its dataflow compute appliance for machine learning is now available via an early access program, with general availability scheduled for Q4 2017. According to the company, its custom-built appliance can deliver 2.9 petaops of performance and train neural networks an order of magnitude faster than the current crop of GPU-accelerated hardware.