April 20, 2016
At 11:30 am local time on Wednesday in Wuhan, China, Zhejiang University was declared the winner of the High Performance LINPACK (HPL) benchmark portion of the Read more…
May 8, 2015
In the previous Cluster Lifecycle Management column, I discussed the best practices for proper care and feeding of your cluster to keep it running smoothly on a Read more…
July 24, 2013
When researchers in Germany sat down nearly a decade ago to create a brand new parallel file system for HPC clusters, they had three goals: maximum scalability, maximum flexibility, and ease of use. What they came up with was the Fraunhofer Parallel File System (FhGFS), which is now in use on supercomputers. Read more…
July 22, 2013
The University of Aberdeen has gone live with Maxwell, a new HPC cluster from Dell that will provide researchers with a faster, more centralized, and easier to manage HPC resource than the university previously had. The system is slated to begin a new era of cross-department collaboration and scientific discovery at the 518-year-old Scottish university. Read more…
Whether an organization chooses a cloud for general business needs or a highly tailored workload, the spectrum of offerings and configurations can be overwhelming. To help you navigate the various cloud options available today, we're breaking down your options, exploring pros and cons, and sharing ways to keep your options open and your business agile as you execute your cloud strategy.
Researchers in academic labs and commercial R&D groups continue to need more compute capacity, which means leveraging the latest innovations in HPC technologies as well as an assortment of resources to meet the unique needs of different workloads. Increasingly, systems based on Arm processors are stepping into that role, offering low power consumption and strategic advantages for HPC workloads.
Whether it's for fraud detection, personalized medicine, manufacturing, smart cities, autonomous vehicles and many other areas, advanced-scale computing has exploded beyond the realm of academia and government and into the private sector. And with data-intensive workloads on the rise, commercial users are turning to HPC-based infrastructure to run the AI, ML and cognitive computing applications that their organizations depend on.
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