The researchers from ORNL have developed a new and faster algorithm for the graph all-pair shortest-path (APSP) problem.
A team of ORNL researchers has used the DCA++ application, a popular code for predicting the performance of quantum materials, to verify two performance-enhancing strategies.
Kokkos is a programming model and library for writing performance-portable code in C++.
Researchers at ORNL have developed new solvers for implicit time discretization of a simplified Boltzmann-Poisson system.
A learning-based approximation strategy has been developed to accelerate parameter studies for non-classical models of diffusion.