“I think that for geophysicists out there, people need to realize that it's an integrated career path. You can't separate the geophysics from the HPC anymore, if we ever did to begin with.”

High-performance computing is becoming more important as seismic data grows in size and complexity. This episode highlights the January The Leading Edge special section on high-performance computing. Guest editors Madhav Vyas and Elizabeth L’Heureux share their perspective on GPUs, CPUs, AI tools, and better algorithms in geophysics, and they stress that future success depends on combining geophysical knowledge with strong computational skills.

KEY TAKEAWAYS

> Modern seismic imaging depends on both advanced physics and powerful, well-chosen computing hardware.

> Data movement and system architecture can limit performance as much as raw processing speed.

> Geophysicists increasingly need programming and computational science skills alongside domain expertise.

LINKS

* Read the January 2026 special section, High-performance computing in geophysics - https://pubs.geoscienceworld.org/tle/issue/45/1

* Introduction to this special section: High-performance computing in geophysics by

Madhav Vyas; Elizabeth L’Heureux; Raj Gautam - https://doi.org/10.1190/tle-4501-SS01

ABOUT SEISMIC SOUNDOFF

Seismic Soundoff showcases conversations addressing the challenges of energy, water, and climate. Produced by the Society of Exploration Geophysicists (SEG) and hosted by Andrew Geary of 51 features, these episodes celebrate and inspire the geophysicists of today and tomorrow. Three new episodes monthly. See the full archive at https://seg.org/resources/podcast/.