January 21, 2015
Thanks to an NSF award worth $1.4 million, bioinformatics researchers at Washington State University and Clemson University and elsewhere will soon have the ki Read more…
March 1, 2012
For the first time in its history, Cray has built something other than a supercomputer. On Wednesday, the company's newly hatched YarcData division launched "uRiKA," a hardware-software solution aimed at real-time knowledge discovery with terascale-sized data sets. The system is designed to serve businesses and government agencies that need to do high-end analytics in areas as diverse as social networking, financial management, healthcare, supply chain management, and national security. Read more…
June 16, 2011
For all the accolades one hears about German engineering, there are few IT vendors native to that country. Recently though, we got the opportunity to talk with one such company, ParStream, a Cologne-based startup that has developed a bleeding-edge CPU/GPU-based analytics platform that marries high performance computing to big data. Read more…
January 26, 2011
When announced in 2006, the Cray XMT supercomputer attracted little attention. The machine was originally targeted for high-end data mining and analysis for a particular set of government clients in the intelligence community. While the feds have given the XMT support over the past five years, Cray is now looking to move these machines into the commercial sphere. And with the next generation XMT-2 on the horizon, the company is gearing up to accelerate that strategy in 2011. 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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