346 citations · 1.8k across the 82 of their papers we have counts for
8 papers · 1 filter
On Physics-Informed Neural Networks for Quantum Computers
Stefano Markidis
Physics-Informed Neural Networks (PINN) emerged as a powerful tool for solving scientific computing problems, ranging from the solution of Partial Differential Equations to data as…
Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software
Måns I. Andersson, N. Arul Murugan, Artur Podobas +1
GROMACS is one of the most widely used HPC software packages using the Molecular Dynamics (MD) simulation technique. In this work, we quantify GROMACS parallel performance using di…
Distributed Objective Function Evaluation for Optimization of Radiation Therapy Treatment Plans
Felix Liu, Måns I. Andersson, Albin Fredriksson +1
The modern workflow for radiation therapy treatment planning involves mathematical optimization to determine optimal treatment machine parameters for each patient case. The optimiz…
Physics-based adaptivity of a spectral method for the Vlasov-Poisson equations based on the asymmetrically-weighted Hermite expansion in velocity space
Cecilia Pagliantini, Gian Luca Delzanno, Stefano Markidis
We propose a spectral method for the 1D-1V Vlasov-Poisson system where the discretization in velocity space is based on asymmetrically-weighted Hermite functions, dynamically adapt…
FFTc: An MLIR Dialect for Developing HPC Fast Fourier Transform Libraries
Yifei He, Artur Podobas, Måns I. Andersson +1
Discrete Fourier Transform (DFT) libraries are one of the most critical software components for scientific computing. Inspired by FFTW, a widely used library for DFT HPC calculatio…
Workflows to driving high-performance interactive supercomputing for urgent decision making
Nick Brown, Rupert Nash, Gordon Gibb +6
Interactive urgent computing is a small but growing user of supercomputing resources. However there are numerous technical challenges that must be overcome to make supercomputers f…