Information Technology Is Not the Savior of the Unemployed

July 16, 2010

The IT recovery is underway, but it left the jobs behind. Read more…

By Michael Feldman

Silicon Valley Faces Rough Road to Recovery

February 11, 2010

Region's high-tech dominance at risk. Read more…

By Lance Whitney

The Tech Sector Trumpets Signs of a Real Rebound

October 17, 2009

A technology led recovery? Read more…

By Steve Lohr

Gartner Adjusts 2009 IT Spend Downward Again

July 8, 2009

Global spending for 2009 projected to drop 6 percent, for a total of $3.2 trillion. Read more…

By Denise Dubie

Engineering Unemployment Soared in 2Q to 8.6%

July 8, 2009

Unemployment for U.S. engineers has reached record levels, according to government figures. Read more…

By George Leopold

SGI Lays Off Another 9 Per Cent

March 3, 2009

Supercomputer maker Silicon Graphics has let go 120 more employees, nine per cent of its workforce, in an effort to cut costs as its revenues decline. Read more…

By Timothy Prickett Morgan

Crisis for Tech Workers: Life After Layoffs?

February 25, 2009

As the recession deepens, IT faces fears and losses. But there are hopeful glimmers as well. Read more…

By Tom Kaneshige

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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.

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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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