November 19, 2010
We often write about some of the interesting cloud computing research projects taking place via Lawrence Berkeley National Lab and NERSC, so when we had a chance to record Kathy Yelick,, NERSC Director at SC10, we took the opportunity to help put a face to the name and lend insight into what's happening at one of the more prominent national centers in cloud and HPC research. Read more…
November 2, 2010
Last week leading figures from the HPC and cloud realm gathered in Frankfurt, Germany, for the ISC Cloud Conference, which was organized by the same team that puts together the long-running International Supercomputing Conference each year. The conference drew leading speakers from industry and academia to discuss the challenges, benefits and future of cloud for high-performance computing. Read more…
June 22, 2010
Since its launch in 2009, the Magellan cloud computing testbed has produced some results of interest to the scientific computing community in its effort to evalue the cost-effectiveness and energy-efficiency, not to mention performance for clouds in scientific applications. Kathy Yelick, NERSC Director discusses some key findings. 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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