The Democratization of Parallel Computing

August 20, 2014

Virginia Tech College of Engineering Professor Wu Feng has a vision to broadly apply parallel computing to advance science and address major challenges. A recen Read more…

By Tiffany Trader

Big Data Versus Big Compute

December 10, 2013

Big data and big compute are not new concepts. Before the term “big data” took off as the buzzword du jour, the HPC community expressed these same ideas as Read more…

By Tiffany Trader

The Greening of HPC — A Conversation with Professor Wu Feng

November 18, 2010

The increased awareness in the HPC community of the need to maximize energy efficiency in compute-intensive environments has never been greater. With The Green500 results coming out this week, HPCwire's Caroline Connor turned to Professor Wu Feng from Virginia Tech, the man largely credited with the movement towards environmentally-sustainable supercomputing. Read more…

By Caroline Connor, for HPCwire

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Full & Complete coverage of SC17

Keynote Reviews, Analysts Write Ups, Booth Vidoes, Student Competition, Awards and so much

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.

Click here to view HPCwire Coverage of SC17


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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