activity
20092016
most citedMRRR-based Eigensolvers for Multi-core Processors and Supercomputers

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

astro-ph.IM2016

Characterising radio telescope software with the Workload Characterisation Framework

Y. G. Grange, R. Lakhoo, M. Petschow +6

We present a modular framework, the Workload Characterisation Framework (WCF), that is developed to reproducibly obtain, store and compare key characteristics of radio astronomy pr…

astro-ph.IM2015

Towards radio astronomical imaging using an arbitrary basis

Matthias Petschow

The new generation of radio telescopes, such as the Square Kilometer Array (SKA), requires dramatic advances in computer hardware and software, in order to process the large amount…

cs.MS2014★ 1 cited

MRRR-based Eigensolvers for Multi-core Processors and Supercomputers

Matthias Petschow

The real symmetric tridiagonal eigenproblem is of outstanding importance in numerical computations; it arises frequently as part of eigensolvers for standard and generalized dense…

math.NA2013

Improved Accuracy and Parallelism for MRRR-based Eigensolvers -- A Mixed Precision Approach

Matthias Petschow, Enrique Quintana-Orti, Paolo Bientinesi

The real symmetric tridiagonal eigenproblem is of outstanding importance in numerical computations; it arises frequently as part of eigensolvers for standard and generalized dense…

cs.MS2012

High-Performance Solvers for Dense Hermitian Eigenproblems

Matthias Petschow, Elmar Peise, Paolo Bientinesi

We introduce a new collection of solvers - subsequently called EleMRRR - for large-scale dense Hermitian eigenproblems. EleMRRR solves various types of problems: generalized, stand…

math.NA2009

An Example of Symmetry Exploitation for Energy-related Eigencomputations

Matthias Petschow, Edoardo Di Napoli, Paolo Bientinesi

One of the most used approaches in simulating materials is the tight-binding approximation. When using this method in a material simulation, it is necessary to compute the eigenval…