We consider the problem of parallelizing electronic structure computations in plane-wave
Density Functional Theory. Because of the limited scalability of Fourier transforms …

Solving dense Hermitian eigenproblems arranged in a sequence with direct solvers fails to
take advantage of those spectral properties that are pertinent to the entire sequence and not …

A novel orthogonalization-free method together with two specific algorithms is proposed to
address extreme eigenvalue problems. On top of gradient-based algorithms, the proposed …

This paper describes the software package Cucheb, a GPU implementation of the filtered
Lanczos procedure for the solution of large sparse symmetric eigenvalue problems. The …

As modern massively parallel clusters are getting larger with beefier compute nodes,
traditional parallel eigensolvers, such as direct solvers, struggle keeping the pace with the …

This dissertation focuses on the design, implementation, and evaluation of domain
decomposition techniques for the solution of large and sparse algebraic symmetric …

One of the greatest efforts of computational scientists is to translate the mathematical model
describing a class of physical phenomena into large and complex codes. Many of these …

Sequences of matrices arise in many applications in science and engineering. In this thesis
we consider matrices that are closely related (or closely related in groups), and we take …

PPAM is a biennial series of international conferences dedicated to exchanging ideas
between researchers involved in parallel and distributed computing, including theory and …