August 30, 2017
Harvesting compute cycles donated by large numbers of volunteers isn’t new. The Human Proteome Folding Project run on the IBM-supported World Community Grid is one example. Last week, IBM announced it is facilitating a similar project... Read more…
July 14, 2016
It’s perhaps fitting that in the middle of the summer, when water management is a common challenge, that a paper in the Proceeding of the National Academy of Sciences (PNAS) offers more proof that life as we know it can’t occur without water. Using Ohio Supercomputing Center resources, researchers have shown the critical role water plays in actively guiding protein folding and movement. “For a long time, scientists have been trying to figure out how water interacts with proteins... Read more…
May 6, 2010
D.E. Shaw Research loans specialized supercomputer to Pittsburgh Supercomputing Center for biomolecular research, while NIH provides the operating funds; and NCSA climate change models show earth's temperatures are rising in response to human activity, but it's not too late to act. We recap those stories and more in our weekly wrapup. 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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