Low-Memory Tour Reversal in Directed Graphs. - Viktor Mosenkis; Uwe Naumann; Elmar Peise (Combinatorial Scientific Computing, 2009)

Performance Modeling for Dense Linear Algebra. - Elmar Peise; Paolo Bientinesi (SC Companion, 2012)

Hierarchical Performance Modeling for Ranking Dense Linear Algebra Algorithms - Elmar Peise (CoRR, 2012)

Algorithms for large-scale whole genome association analysis. - Elmar Peise; Diego Fabregat-Traver; Yurii S. Aulchenko; Paolo Bientinesi (EuroMPI, 2013)

High-Performance Solvers for Dense Hermitian Eigenproblems. - Matthias Petschow; Elmar Peise; Paolo Bientinesi (SIAM J. Sci. Comput., 2013)

On the Performance Prediction of BLAS-based Tensor Contractions. - Elmar Peise; Diego Fabregat-Traver; Paolo Bientinesi (PMBS@SC, 2014)

A Study on the Influence of Caching: Sequences of Dense Linear Algebra Kernels. - Elmar Peise; Paolo Bientinesi (VECPAR, 2014)

Cache-aware Performance Modeling and Prediction for Dense Linear Algebra. - Elmar Peise; Paolo Bientinesi (CoRR, 2014)

High performance solutions for big-data GWAS. - Elmar Peise; Diego Fabregat-Traver; Paolo Bientinesi (Parallel Comput., 2015)

Large Scale Parallel Computations in R through Elemental. - Rodrigo Canales; Elmar Peise; Paolo Bientinesi (CoRR, 2016)

Recursive Algorithms for Dense Linear Algebra: The ReLAPACK Collection. - Elmar Peise; Paolo Bientinesi (CoRR, 2016)

Performance Modeling and Prediction for Dense Linear Algebra. - Elmar Peise (CoRR, 2017)

High-performance generation of the Hamiltonian and Overlap matrices in FLAPW methods. - Edoardo Di Napoli; Elmar Peise; Markus Hrywniak; Paolo Bientinesi (Comput. Phys. Commun., 2017)

Algorithm 979: Recursive Algorithms for Dense Linear Algebra - The ReLAPACK Collection. - Elmar Peise; Paolo Bientinesi (ACM Trans. Math. Softw., 2017)

Performance modeling and prediction for dense linear algebra. - Elmar Peise (2017)

The ELAPS framework: Experimental Linear Algebra Performance Studies. - Elmar Peise; Paolo Bientinesi (Int. J. High Perform. Comput. Appl., 2019)