April 29, 2015
In what is being called an unprecedented upgrade, the NASA Center for Climate Simulation (NCCS) is tripling the peak performance of its Discover supercomputer t Read more…
November 14, 2013
The devastation incurred by the landfall of Hurricane Sandy on the northeast coast of the United States just over one year ago exemplifies the need for further advances in accuracy and reliability in numerical weather prediction. High resolution numerical weather simulations carried out on hundreds of thousands of processors on the largest supercomputers, Blue Waters in this case, are providing these very insights. Read more…
July 25, 2012
<a href="http://www.hpcwire.com/hpcwire/2012-07-25/nasa_builds_supercomputing_lab_for_earth_scientists.html" target="_blank">This week, NASA announced it would soon be launching a new HPC and data facility that will give Earth scientists access to four decades of satellite imagery and other datasets. Known as the NASA Earth Exchange (NEX), the facility is being promoted as a "virtual laboratory" for researchers interested in applying supercomputing resources to studying areas like climate change, soil and vegetation patterns, and other environmental topics. Read more…
March 14, 2011
Since the dawn of high performance computing, climate modeling has been one of its most demanding domains. The hunger for computational capability is unending, as researchers work to incorporate more of nature's complexity into their models at higher resolutions. HPCwire talked with NOAA/GFDL Deputy Director Brian Gross and Venkatramani Balaji, head of the lab's Modeling Systems Group. 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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