Supercomputer provider Cray has announced that the Board of Directors has elected Stephen Gold as a member of the Board and appointed him to the Strategic Technology Assessment Committee
Cray has announced its new, supercomputing system code-named ‘Shasta’. The system will be showcased next month at the 30th anniversary of the SC conference in Dallas, Texas.
Altair has announced a 3-year extension to its original equipment manufacturer (OEM) agreement with Cray
Cray has announced it has added AMD EPYC processors to its Cray CS500 product line
Paderborn University has announced that it has selected a Cray CS500 cluster system as its next-generation supercomputer
Cray has announced financial results for the year and fourth quarter ended December 31, 2017
Cray has announced that the Ministry of Earth Sciences in India has deployed two Cray XC40 supercomputers and two Cray ClusterStor storage systems as part of a $67 million contract with Cray to update its supercomputing facilities
Cray has announced the Company has joined the Big Data Center (BDC) at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC)
Cray has announced an exclusive strategic alliance with Microsoft to offer dedicated Cray supercomputing systems in Microsoft Azure datacentres
Cray has announced the Korea Institute of Science and Technology Information (KISTI) has awarded the Company a contract valued at more than 48 million for a Cray CS500 cluster supercomputer.
As not only the HPC industry but the larger computing ecosystem tries to overcome the slowdown and eventual end of transistor scaling described by Moore’s Law, scientists and researchers are implementing programmes that will define the technologies and new materials needed to supplement, or repla
Architectural specialisation is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law.
As the complexity of both HPC hardware and the challenges that scientists are trying to solve using HPC systems increases, ensuring a system is utilised efficiently is necessary to deliver a computing service with value for money and a high research output.
With data rates increasing and more complex challenges arising in life sciences, Panasas’ Jim Donovan and Dale Brantly discuss the benefits of using HPC for these workloads
