activity
20122020
most citedHigh-performance implementation of Chebyshev filter diagonalization for interior eigenvalue computations

48 citations · 72 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2020

Flexible subspace iteration with moments for an effective contour integration-based eigensolver

Sarah Huber, Yasunori Futamura, Martin Galgon +3

Contour integration schemes are a valuable tool for the solution of difficult interior eigenvalue problems. However, the solution of many large linear systems with multiple right h…

physics.comp-ph2018★ 1 cited

Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects

Andreas Alvermann, Achim Basermann, Hans-Joachim Bungartz +30

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…

math.NA2015★ 48 cited

High-performance implementation of Chebyshev filter diagonalization for interior eigenvalue computations

Andreas Pieper, Moritz Kreutzer, Andreas Alvermann +5

We study Chebyshev filter diagonalization as a tool for the computation of many interior eigenvalues of very large sparse symmetric matrices. In this technique the subspace project…

cs.DC2015★ 23 cited

GHOST: Building blocks for high performance sparse linear algebra on heterogeneous systems

Moritz Kreutzer, Jonas Thies, Melven Röhrig-Zöllner +7

While many of the architectural details of future exascale-class high performance computer systems are still a matter of intense research, there appears to be a general consensus t…

math.NA2012

Dissecting the FEAST algorithm for generalized eigenproblems

Lukas Krämer, Edoardo Di Napoli, Martin Galgon +2

We analyze the FEAST method for computing selected eigenvalues and eigenvectors of large sparse matrix pencils. After establishing the close connection between FEAST and the well-k…