The San Diego Supercomputer Center today announced that it will host a special conference in late October this year as it readies itself to deploy Gordon, their upcoming data intensive computing platform. The conference, called “Grand Challenges in Data-Intensive Discovery”, will be held October 26-28 at SDSC.
Science has entered a data-intensive era, driven by a deluge of data being generated by digitally based instruments, sensor networks, and simulation devices,” said Michael Norman, interim director of SDSC. “Hence, a growing part of the scientific enterprise is associated with analyzing such data, placing special demands on computer architectures because the associated calculations have frequent I/O accesses, large memory requirements, and often limited parallelism.
Speakers and their respective topics include:
- Visual Arts – Lev Manovich, UC San Diego
- Needs and Opportunities in Observational Astronomy – Alex Szalay, Johns Hopkins University
- Transient Sky Surveys – Peter Nugent, Lawrence Berkeley National Laboratory
- Large Data-Intensive Graph Problems – John Gilbert, UC Santa Barbara
- Algorithms for Massive Data Sets – Michael Mahoney, Stanford University
- Needs and Opportunities in Seismic Modeling and Earthquake Preparedness Tom Jordan, University of Southern California
- Economics and Econometrics – James Hamilton, UC San Diego
- Needs and Opportunities in Fluid Dynamics Modeling and Flow Field Data Analysis – Parviz Moin, Stanford University
- …and many more
For more info, read their full release here.