Scalable Artificial Intelligence for Science: Perspectives, Methods and
Exemplars

Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars

24 June 2024

Mallikarjun Shankar

Papers citing "Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars"

5 / 5 papers shown

Title
AI-coupled HPC Workflow Applications, Middleware and Performance Wes Brewer Ana Gainaru Frédéric Suter Feiyi Wang M. Emani S. Jha 25 10 0 20 Jun 2024
Optimizing Distributed Training on Frontier for Large Language Models Sajal Dash Isaac Lyngaas Junqi Yin Xiao Wang Romain Egele Guojing Cong Feiyi Wang Prasanna Balaprakash ALM MoE 32 13 0 20 Dec 2023
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,254 0 18 Oct 2020
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 249 1,982 0 28 Jul 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015