Track: Software Technology
Minitrack: Data Intensive Computing

Data intensive computing is concerned with creating scalable solutions for capturing, analyzing, managing and visualizing multi-terabyte and petabyte data volumes. Such data stores exist in a diverse range of application domains, including scientific research, bio-informatics, cyber security, astronomy, social computing and commerce. Innovative hardware and software technologies to address these problems must scale to meet these ballooning data volumes and simultaneously reduce the time needed to provide effective data analysis.

Topics and research areas include, but are not limited to:
* Software architectures, storage and network systems
* Novel hardware platforms
* Data provenance
* Visualization data stream processing
* Workflow and integration platforms
* Application case studies

Co-chairs:
Ian Gorton (Primary Contact)
Pacific Northwest National Lab
MSIN: k7-90, Richland WA 99352, USA
Phone: +1-509-375-3850
Fax: +1-509-372-4720
Email: Ian.gorton@pnl.gov

Randal E. Bryant
School of Computer Science
Carnegie Mellon University
5000 Forbes Ave, Pittsburgh, PA 15213, USA
Phone: +1-412-268-8821
Fax: +1-412-268-5497
Email: randy.bryant@cs.cmu.edu

Adam Wynne
Pacific Northwest National Lab
1100 Dexter Ave North, Suite 400, Seattle, WA 98109-3598, USA
Phone: +1-206-528-3227
Email: adam.wynne@pnl.gov