CloudSigma CEO Elaborates on Science Cloud

June 14, 2013

Experimental scientific HPC applications are continually being moved to the cloud, as covered here in several capacities over the last couple of weeks. Included in that rundown, Co-founder and CEO of CloudSigma Robert Jenkins penned an article for HPC in the Cloud where he discussed the emergence of cloud technologies to supplement research capabilities of big scientific initiatives like CERN and ESA (the European Space Agency)... Read more…

By Ian Armas Foster

The Science Cloud Cometh

May 28, 2013

Monumental scientific undertakings have very different goals, but one important feature in common: the huge amounts of data that must be processed efficiently in order to yield accurate results. The answer to this dilemma may lie in one of today’s most innovative computing delivery technologies: cloud computing. Read more…

By Robert Jenkins

Helix Nebula: from Grid to Cloud and Lessons Learned So Far

July 17, 2012

European cloud computing is taking off as can be seen in the progress of Helix Nebula. The major pan-European cloud project announced last week that they were moving from the initial proof of concept phase to the start of the two-year pilot phase, which involves expanded proofs of concept and perhaps some additional demand side partners. Just a few months into the project, the participants discuss the challenges of migrating science into the cloud. Read more…

By Tiffany Trader

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Full & Complete coverage of SC17

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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.

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Avoiding the Storage Silo Trap; Best Practices for Data Storage in Scientific Research

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.

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Creating a Modular, Building-Block Architecture for Life Science Workflows

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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