Predicting the Next Cloud Boom

July 24, 2012

According to a new report from Saugatuck Technology, cloud-based business analytics is poised for huge growth over the next two years. Read more…

By Robert Gelber

SAS Brings High Performance Analytics to Database Appliances

April 19, 2011

In early April the SAS Institute (SAS) announced it had integrated its most advanced analytics software into database appliances from EMC Greenplum and Teradata Corporation. The new offerings marry high performance computing to "big data" and are designed to enable users to perform deep analysis on huge datasets hosted on purpose-built, parallel computing platforms. Read more…

By Michael Feldman

Palmisano Says IBM Will Double Up Profits By 2015

May 17, 2010

Company looks to fuel growth with business analytics, cloud computing, and new services. Read more…

By Timothy Prickett Morgan

At a Software Powerhouse, the Good Life Is Under Siege

November 22, 2009

SAS is encountering formidable new rivals in its lucrative niche of business intelligence software. Read more…

By Steve Lohr

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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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