Report from the HPC Advisory Council Exascale Workshop

February 3, 2014

The HPC Advisory Council, in conjunction with Stanford University, is hosting their conference and exascale workshop event this week. On the agenda are several Read more…

By Nicole Hemsoth

Cloud Computing Will Usher in a New Era of Science Discovery

January 26, 2010

Computation is commonly considered the third mode of science, where the previous modes or paradigms were experimentation/observation and theory. With the introduction of high performance supercomputers, the methods of scientific research could include mathematical models and simulation of phenomenon that are too expensive or beyond our experiment's reach. With the advent of cloud computing, a fourth mode of science is on the horizon. Read more…

By Gilad Shainer, Brian Sparks, Scot Schultz, Eric Lantz, William Liu, Tong Liu, and Goldi Misra

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Strategies for the Spectrum of Cloud Adoptions

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.

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Adaptive Flexibility is the Future of Supercomputing – The Arm advantage for HPC workloads

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.

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HPC Goes Mainstream

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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