4 citations · 14 across the 16 of their papers we have counts for
5 papers · 1 filter
Hybrid CPU-GPU generation of the Hamiltonian and Overlap matrices in FLAPW methods
Diego Fabregat-Traver, Davor Davidović, Markus Höhnerbach +1
In this paper we focus on the integration of high-performance numerical libraries in ab initio codes and the portability of performance and scalability. The target of our work is F…
Accelerating scientific codes by performance and accuracy modeling
Diego Fabregat-Traver, Ahmed E. Ismail, Paolo Bientinesi
Scientific software is often driven by multiple parameters that affect both accuracy and performance. Since finding the optimal configuration of these parameters is a highly comple…
Large-scale linear regression: Development of high-performance routines
Alvaro Frank, Diego Fabregat-Traver, Paolo Bientinesi
In statistics, series of ordinary least squares problems (OLS) are used to study the linear correlation among sets of variables of interest; in many studies, the number of such var…
Algorithms for Large-scale Whole Genome Association Analysis
Elmar Peise, Diego Fabregat, Yurii Aulchenko +1
In order to associate complex traits with genetic polymorphisms, genome-wide association studies process huge datasets involving tens of thousands of individuals genotyped for mill…
High-throughput Genome-wide Association Analysis for Single and Multiple Phenotypes
Diego Fabregat-Traver, Yurii S. Aulchenko, Paolo Bientinesi
The variance component tests used in genomewide association studies of thousands of individuals become computationally exhaustive when multiple traits are analysed in the context o…