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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Atlanta, GA | Posted: July 2, 2018
Kristen Perez
Communications Officer I
College of Computing - School of Computational Science and Engineering
Summary Sentence:
David Bader is presenting at PASC'18 on massive-scale analytics applied to real world problems.
Full Summary:
No summary paragraph submitted.
PASC'18 - Basel - Bader Presents KeynoteSchool of Computational Science and Engineering (CSE) Chair David Bader is in Basel, Switzerland this week to deliver a keynote presentation at the Platform for Advanced Scientific Computing (PASC) Conference.
PASC is an annual scientific computing and computational science forum. Industry and research leaders are in Basel from July 2-4, for this year’s conference, a co-sponsored event by the Association for Computing Machinery and the Swiss National Supercomputing Center. PASC’18 offers technical sessions with more than 200 talks in total.
Bader’s presentation, Massive-Scale Analytics Applied to Real-World Problems, discusses the particular challenges and opportunities presented by data-intensive computing applications in massive-scale analytics. Bader’s graph analytics enable fast detection, attribution, and future predictions, from massive streams of information – such as those coming from Internet of Things.
“Massive-scale analytics are prevalent in nearly every industry and application, from health care to social networks to business analytics, cybersecurity, and more. This discussion focuses on the particular challenges and opportunities that are presented by emerging real-world graph problems,” said Bader. “Our research at Georgia Tech is among the first that handles a fire hose of data.”
The real-world applications discussed in this presentation include:
“Solving real-world problems at scale often presents singularly different challenges than those found in traditional computational science and engineering applications,” he continued.
“All require predicting and influence change in real-time at massive-scale – a particularly dynamic problem which requires our co-design of new architectures, software, and algorithms, to provide key insights and forecasts into our lives.”
