Topic: Seismology

Our researchers will be well represented at the SIAM Conference on Parallel Processing for Scientific Computing (PP26) on March 3–6. SIAM is the Society for Industrial and Applied Mathematics with an international community of more than 14,000 individual members.

Researchers are using LLNL’s unclassified supercomputers to delve into complex scientific questions such as uncovering how protein interactions are linked to cancer, shedding light on mysterious dark matter, and understanding the shifting dynamics of seismic waves.

The latest issue of LLNL's magazine marks the 20th anniversary of the Computing Grand Challenge.

This issue highlights some of CASC’s contributions to the DOE's Exascale Computing Project.

Computational Scientist Ramesh Pankajakshan came to LLNL in 2016 directly from the University of Tennessee at Chattanooga. But unlike most recent hires from universities, he switched from research professor to professional researcher.

Highlights include the directorate's annual external review, machine learning for ALE simulations, CFD modeling for low-carbon solutions, seismic modeling, and an in-line floating point compression tool.