Staged Laser Wakefield Acceleration (9 Stages, WarpX @SC23/ISAV23)

YouTube

Published my slides from earlier today, #ISAV23:

"State of In Situ Visualization in Simulations: We are fast. But are we inspiring?"

https://doi.org/10.5281/zenodo.10120349

State of In Situ Visualization in Simulations: We are fast. But are we inspiring?

Visualization of dynamic processes in scientific high-performance computing is an immensely data intensive endeavor. Application codes have recently demonstrated scaling to full-size Exascale machines, and generating high-quality data for visualization is consequently on the machine-scale, easily spanning 100s of TBytes of input to generate a single video frame. In situ visualization, the technique to consume the many-node decomposed data in-memory, as exposed by applications, is the dominant workflow. Although in situ visualization has achieved tremendous progress in the last decade, scaling to system-size together with the application codes that produce its data, there is one important question that we cannot skip: is what we produce insightful and inspiring?

Zenodo

Are you attending #SC23 #HPC?
I heard Monday will be amazing! 😁

- morning: #ISAV23 https://isav-workshop.github.io/2023/

- evening gala: let's meet at 8pm at the booth of US DOE - we got something major to celebrate! 🥁

ISAV 2023: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization

Information for the SC’23 conference ISAV workshop

ISAV Homepage

We'll present a lightning talk at #ISAV23 #SC23: "State of In Situ Visualization in Simulations: We are fast. But are we inspiring?"

Join us for ISAV23! https://isav-workshop.github.io/2023/

Our extended abstract: https://arxiv.org/abs/2310.00469

ISAV 2023: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization

Information for the SC’23 conference ISAV workshop

ISAV Homepage