Don't miss episode 63 of the Big Ideas Lab podcast where researchers explain how they used El Capitan, advanced algorithms, & digital twins for tsunami forecasting. https://t.co/RkNOojBcVu
Postdocs, don't forget! Applications are due Nov. 20 for the Fernbach Fellowship in computational math, scientific computing, CS, data science, and/or scientific ML. https://t.co/NrWAcwV210
ICYMI the annual MFEM workshop features an exciting visualization contest. This year's winners demonstrate linear plasma temperature and vorticity and thermal computation on a scan-based geometry. View submissions in the gallery: https://t.co/yKpvaCNs1u
Postdocs, do you have what it takes to be the next Fernbach Fellow? Applications are due Nov. 20 for this competitive opportunity in computational math, scientific computing, CS, data science, and/or scientific ML. https://t.co/NrWAcwV210
Advance your career in high performance scientific computing at LLNL!
Apply for the Sidney Fernbach Postdoctoral Fellowship for the opportunity to work in a cutting-edge research environment with access to the Lab's world-class HPC environment. https://t.co/wlept1dNaw
LLNL researchers received the ACM SIGSIM PADS Test of Time Award for developing Backstroke, a tool that automatically generates reversible C/C++ code for rolling back parallel simulations. https://t.co/Zcs0BMZmzi
The competitive postdoctoral Fernbach Fellowship is accepting applications until Nov. 20. Will you be the next Fellow? Learn more about the requirements & application process: https://t.co/NrWAcwV210
Attn postdocs! Apply by Nov. 20 for the Sidney Fernbach Fellowship in computational math, scientific computing, CS, data science, and/or scientific ML. Bring your A game! https://t.co/NrWAcwV210
CompilerGPT uses LLMs to translate cryptic compiler reports into actionable code optimizations. The open-source tool achieved speedups of up to 6.5x across benchmark applications. Learn more in the latest CASC newsletter: https://t.co/fEbETngzIS
@TzanioKolev Thank you, Tzanio and @Livermore_Comp for bringing MFEM and it's community to Georgia Tech! 🐝
It was an inspiring few days filled with big ideas for the future of scientific computing! Looking forward to seeing what this community builds next with MFEM! 💻 🚀
As the latest CASC newsletter explains, the open-source YGM library's asynchronous messaging & scalable buffering support high-performance communication for unstructured data & graph algorithms: https://t.co/IeKwNWBNzf
The latest CASC newsletter describes a decentralized software solution that helps fragmented power grids self-organize into functioning microgrids after disruptions. Read on: https://t.co/DYNmPNWXtE
Power grid resilience, asynchronous communication for HPC workloads, trustworthy AI, & LLM-boosted compiler optimization. It's all right here in the latest CASC newsletter: https://t.co/0iMXvwpGIw