extreme computing

Extreme Computing Universals

David Keyes, Professor, Applied Mathematics and Computational Science

Mar 9, 12:00 - 13:00

B9 L2 R2325

HPC APIs extreme computing smart systems parallel computing software development

This talk redefines "extreme" computing as operating under severe resource constraints rather than just massive scale, outlining universal algorithmic, hardware, and system-level strategies to overcome these challenges, illustrated by KAUST success stories.

Superior seismic imaging for better drilling

1 min read · Sun, Jul 8 2018

seismic imaging fossil fuels extreme computing data analysis

Software could transform underground imaging of fossil fuel reserves by providing unprecedented detail in record time.

Keep the data coming

1 min read · Mon, Nov 9 2020

big data extreme computing applied mathematics computational science

A continuous data supply ensures data-intensive simulations can run at maximum speed.

Shuo Shang

Research Scientist, Computer Science

extreme computing

Shuo Shang was a Research Scientist at the Extreme Computing Research Center in King Abdullah University of Science and Technology (KAUST). Education Profile Ph.D. in Computer Science, University of Queensland, Australia, 2012. B.Sc. in Computer Science, Peking University, China, 2008 Professional Memberships Research Scientist, King Abdullah University of Science and Technology, Saudi Arabia (2016) Faculty Member, China University of Petroleum-Beijing, China (2013-2016) Postdoc/Research Assistant Professor, Aalborg University, Denmark (2012-2013) IEEE member IEEEXtreme competition proctor