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…
Did you miss out on Supercomputing 2017? Did you attend, but were stuck in meetings the whole time without an opportunity to walk the show floor and see what new announcements were being made? HPCwire's got you covered, we visited some of the hottest booths in the exhibit hall and spoke with their top executives to get the scoop on the latest solutions, partnerships, and product announcements.
From mismatches between compute and storage capabilities to colossal data volumes, data storage presents a number of challenges for scientific research. And as silos pop up and challenges expand, the pace of research often suffers.
As genomic data becomes ubiquitous, infrastructure bottlenecks for life sciences organizations are narrowing. But speedy analysis and real-time decision making don't have to remain out of reach: modern end-to-end systems are emerging as flexible solutions for a competitive edge.
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