December 17, 2013
As the cost of powering a supercomputer or a datacenter increases, next generation exascale systems need to be considerably more power- and energy-efficient than current supercomputers to be of practical use. Unlike petascale systems, where the primary concern was performance, exascale systems need to climb the power and energy walls in order to deliver sustainable exaflops performance. Pacific Northwest Laboratory (PNNL) researchers are exploring holistically energy and power efficiency aspects at all levels of granularity, from processor architecture to system integration. Read more…
April 25, 2013
We've scoured the journals and conference proceedings to bring you the top research stories of the week. This diverse set of items includes advancements in petascale-era development environments; balancing performance with power efficiency; optimizing computer science instruction; and a possible path to extreme heterogeneity. Read more…
December 8, 2011
Additional performance increases for supercomputers are being confounded by three walls: the power wall, the memory wall and the datacenter wall (the "wall wall"). To overcome these hurdles, the market is currently looking to a combination of four strategies: parallel applications development, adding accelerators to standard commodity compute nodes, developing new purpose-built systems, and waiting for a technology breakthrough. 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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