Cray, a Hewlett Packard Enterprise company, has unveiled its Cray ClusterStor E1000 system, an entirely new parallel storage platform for massively scalable workloads such as AI, analytics, simulation and modelling
Cray, a Hewlett Packard Enterprise company, in partnership with the US Department of Energy’s (DOE’s) Exascale Computing Project (ECP), and the DOE laboratories that will house the nation’s first three exascale supercomputers: Argonne (ANL), Oak Ridge (ORNL) and Lawrence Livermore (LLNL) have established National Exascale Day as a registered holiday to be celebrated annually on October 18 (1018) 201
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)
Robert Roe interviews MathWorks Loren Dean, on the use of AI in modelling and simulation
Every device needs to work seamlessly in its operating environment. But when that environment is a human body, things get complicated.
Christian Marcazzo, general manager at IDBS, highlights trends in life sciences research and development.
Data is a company’s biggest asset, yet for any organisation, keeping a handle on the potentially vast volumes and diversity of data that are generated can represent a considerable issue.
Rob Lalonde, Univa’s cloud VP general manager, considers the unique challenges posed by HPC
Deep learning has seen a huge rise in popularity over the last five years in both enterprise and scientific applications.
HPC users are increasingly turning to cloud technologies due to their flexibility and scalability, allowing them to quickly change the size of their workloads, adopt new technologies in a small testing environment and to help to increase the agility of a company working across multiple sites, or
