17 research outputs found
A Look-Back-type restart for the restarted Krylov subspace methods for solving non-Hermitian linear systems
Triterpenoids from the Flower of Campsis grandiflora K. Schum. as Human Acyl-CoA: Cholesterol Acyltransferase Inhibitors
Synthesis, Cytotoxicity and Pro-apoptosis of Novel Benzoisoindolin Hydrazones as Anticancer Agents
Discovery and Development of Natural Product-Derived Chemotherapeutic Agents Based on a Medicinal Chemistry Approach
Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects
We first briefly report on the status and recent achievements of the ELPA-AEO (Eigenvalue Solvers for Petaflop Applications - Algorithmic Extensions and Optimizations) and ESSEX II (Equipping Sparse Solvers for Exascale) projects. In both collaboratory efforts, scientists from the application areas, mathematicians, and computer scientists work together to develop and make available efficient highly parallel methods for the solution of eigenvalue problems. Then we focus on a topic addressed in both projects, the use of mixed precision computations to enhance efficiency. We give a more detailed description of our approaches for benefiting from either lower or higher precision in three selected contexts and of the results thus obtained