PDEs

Dimension Liftings for Quantum Computation of Partial Differential Equations and Related Problems

Shi Jin, Director of Institute of Natural Sciences, Chair Professor of Mathematics, Shanghai Jiao Tong University

Mar 25, 16:00 - 17:00

B1 L3 R3119

PDEs Schrödinger equation quantum simulation quantum computing

This lecture presents a systematic framework for developing quantum simulation algorithms for general differential equations, using dimension lifting to transform nonlinear and time-dependent problems into forms solvable by simulating the Schrödinger equation.

Device accelerated solvers for PDEs. Current status and future perspectives

Stefano Zampini, Senior Research Scientist, Hierarchical Computations on Manycore Architectures

Sep 26, 16:00 - 17:00

B5 L5 R5220

Shaheen GPU supercomputing petsc PDEs

In the next months, KAUST expects to place into service Shaheen-3, a supercomputer with a GPU partition whose planned 1 Exaflop/s HPL AI capability would rank it in the Top 6 globally if delivered today.

Jinchao Xu

Professor, Applied Mathematics and Computational Sciences

applied mathematics deep learning PDEs

Professor Xu is widely recognized as a leading figure in developing, designing and analyzing fast methods for finite element discretization and large-scale equation solutions.