July 30, 2013
Today's Wall Street is run by quantitative analysts who write the algorithms that run on the supercomputers that make the actual trades, using super high speed network connections to exchanges. While the new system has unquestionably enriched some, the question becomes: Has it benefited the rest of us? Read more…
September 27, 2012
One of technology’s most pervasive buzzwords echoed in the ears of attendees at this year’s one-day HPC on Wall Street conference in New York City, as panel after panel addressed the challenges and opportunities that big data presents. From the opening remarks regarding Wall Street’s traditional concern of low latency, delivered by Cisco CTO Paul Perez, to the multiple open-ended discussions that took place in concurrent panels, the “big data” problem was a much-discussed topic. Read more…
April 7, 2011
The Weekly Top Five features the five biggest HPC stories of the week, condensed for your reading pleasure. This week, we cover Intel's "Westmere EX" launch party; the Albert Einstein Institute's new cluster; TACC's Lonestar 4 inauguration; Penguin Computing's financial markets server; and NextIO's partnership with Bright Computing. Read more…
January 24, 2011
As a recent Financial Times argues, it is difficult for SaaS companies focused on Wall Street to prove their revenue model in the short term--or at all, thus leading to immaturity of cloud services in this market. 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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