August 2, 2013
Stanford University will receive $16 million over the next five years from the National Nuclear Security Administration (NNSA) to use supercomputers to find ways to increase the efficiency of solar energy concentrators. The research project involves developing new models that will help solve vexing engineering challenges on the next generation of exascale supercomputers. Read more…
March 20, 2013
Prominent figures in government, national labs, universities and other research organizations are worried about the effect that sequestration and budget cuts may have on federally-funded R&D in general, and on HPC research in particular. They have been defending the concept in hearings and in editorial pages across the country. It may be a tough argument to sell. Read more…
December 3, 2012
The Council on Competitiveness has been awarded a $914,000 grant from the Department of Energy to explore the implications of the emerging post-petaflop era and the challenges associated with extreme computing. HPCwire talks to Council on Competitiveness Senior Vice President Cynthia R. McIntyre to learn more about the project. Read more…
October 29, 2012
Kickstarter investment model notches another high-tech success. 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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