[Eoas-seminar] [Seminar-announce] Scientific Computing Colloquium with Milinda Fernando

[eoas-seminar at lists.fsu.edu]

"Scalable Algorithms for Exascale Science and Engineering"

Milinda Fernando
University of Texas at Austin

Please feel free to forward/share this invitation with other groups/disciplines that might be interested in this talk/topic. All are welcome to attend.

NOTE: In-person attendance is requested in our 499 Dirac Science Library (DSL) Seminar Room. Zoom access is intended for external (non-departmental) participants only.

https://fsu.zoom.us/j/94273595552
Meeting # 942 7359 5552

🎦 Colloquium recordings will be made available here, https://www.sc.fsu.edu/colloquium<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sc.fsu.edu%2Fcolloquium&data=05%7C02%7Csc-seminar-announce%40lists.fsu.edu%7C3a56ed3aee2e421ee3bd08de592d032a%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C639046247017483288%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=jQ80fc6VODemkBzQtk2wOCO1MvyugBcOWjlJdwZD2AM%3D&reserved=0>

Friday, Jan 23, 2026, Schedule:

* 3:00 to 3:30 PM Eastern Time (US and Canada)
☕ Nespresso & Teatime - 417 DSL Commons

* 3:30 to 4:30 PM Eastern Time (US and Canada)
🕟 Colloquium - 499 DSL Seminar Room


Abstract:
In this talk, I will present my research on the development of scalable, hardware-aware numerical algorithms for solving complex partial differential equations (PDEs) on leadership-class supercomputers. By co-designing algorithms with architectural constraints in mind, my work enables high-fidelity simulations that were previously computationally infeasible. I will highlight key algorithmic advances and demonstrate their impact through three representative application areas:

  *   (A) Micro-scale physics, where I develop scalable solvers for the Boltzmann transport equation to model electron transport in low temperature plasmas;
  *   (B) Relativistic astrophysics, where communication-avoiding and extreme-scale AMR enables large-scale simulations of the Einstein field equations for binary black-hole mergers and resulting gravitational waves; and
  *   (C) Real-time Bayesian inversion, where the underlying problem structure is exploited to develop fast Hessian matrix–vector products that enable extreme-scale, real-time Bayesian inversion for a tsunami early warning system.

Together, these examples illustrate a unifying theme: carefully designed scalable algorithms are a prerequisite for extracting scientific insight from next-generation computing platforms. I will conclude by outlining my vision for future research in extreme-scale algorithms and their role in advancing science and engineering in the exascale era.

Additional colloquium details can be found here,
https://www.sc.fsu.edu/news-and-events/colloquium/1902-colloquium-with-milinda-fernando-2026-01-23<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sc.fsu.edu%2Fnews-and-events%2Fcolloquium%2F1902-colloquium-with-milinda-fernando-2026-01-23&data=05%7C02%7Csc-seminar-announce%40lists.fsu.edu%7C3a56ed3aee2e421ee3bd08de592d032a%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C639046247017535622%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=39MQmnAzn6PvdVwMtySnRheUNapuarhCA2YRmL8vuzo%3D&reserved=0>
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