Diego Fabregat-Traver

According to our database, Diego Fabregat-Traver authored at least 20 papers between 2011 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Program Generation for Linear Algebra Using Multiple Layers of DSLs.

Daniele G. Spampinato, Diego Fabregat-Traver, Markus Püschel, Paolo Bientinesi

CoRR, 2019

2018

Accelerating molecular dynamics codes by performance and accuracy modeling.

Diego Fabregat-Traver, Ahmed E. Ismail, Paolo Bientinesi

J. Comput. Sci., 2018

Accelerating the computation of FLAPW methods on heterogeneous architectures.

Davor Davidovic, Diego Fabregat-Traver, Markus Höhnerbach, Edoardo Di Napoli

Concurr. Comput. Pract. Exp., 2018

Program generation for small-scale linear algebra applications.

Daniele G. Spampinato, Diego Fabregat-Traver, Paolo Bientinesi, Markus Püschel

Proceedings of the 2018 International Symposium on Code Generation and Optimization, 2018

2016

Accelerating scientific codes by performance and accuracy modeling.

Diego Fabregat-Traver, Ahmed E. Ismail, Paolo Bientinesi

CoRR, 2016

Large-scale linear regression: Development of high-performance routines.

Alvaro Frank, Diego Fabregat-Traver, Paolo Bientinesi

Appl. Math. Comput., 2016

Hybrid CPU-GPU Generation of the Hamiltonian and Overlap Matrices in FLAPW Methods.

Diego Fabregat-Traver, Davor Davidovic, Markus Höhnerbach, Edoardo Di Napoli

Proceedings of the High-Performance Scientific Computing, 2016

2015

High performance solutions for big-data GWAS.

Elmar Peise, Diego Fabregat-Traver, Paolo Bientinesi

Parallel Comput., 2015

2014

Computing Petaflops over Terabytes of Data: The Case of Genome-Wide Association Studies.

Diego Fabregat-Traver, Paolo Bientinesi

ACM Trans. Math. Softw., 2014

Knowledge-Based Automatic Generation of Linear Algebra Algorithms and Code.

Diego Fabregat-Traver

CoRR, 2014

Towards an efficient use of the BLAS library for multilinear tensor contractions.

Edoardo Di Napoli, Diego Fabregat-Traver, Gregorio Quintana-Ortí, Paolo Bientinesi

Appl. Math. Comput., 2014

Solving sequences of generalized least-squares problems on multi-threaded architectures.

Diego Fabregat-Traver, Yurii S. Aulchenko, Paolo Bientinesi

Appl. Math. Comput., 2014

On the Performance Prediction of BLAS-based Tensor Contractions.

Elmar Peise, Diego Fabregat-Traver, Paolo Bientinesi

Proceedings of the High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, 2014

2013

Knowledge-based automatic generation of linear algebra algorithms and code.

Diego Fabregat-Traver

PhD thesis, 2013

Application-tailored linear algebra algorithms: A search-based approach.

Diego Fabregat-Traver, Paolo Bientinesi

Int. J. High Perform. Comput. Appl., 2013

Algorithms for large-scale whole genome association analysis.

Elmar Peise, Diego Fabregat-Traver, Yurii S. Aulchenko, Paolo Bientinesi

Proceedings of the 20th European MPI Users's Group Meeting, 2013

2012

High-throughput Genome-wide Association Analysis for Single and Multiple Phenotypes

Diego Fabregat-Traver, Yurii S. Aulchenko, Paolo Bientinesi

CoRR, 2012

A Domain-Specific Compiler for Linear Algebra Operations.

Diego Fabregat-Traver, Paolo Bientinesi

Proceedings of the High Performance Computing for Computational Science, 2012

2011

Automatic Generation of Loop-Invariants for Matrix Operations.

Diego Fabregat-Traver, Paolo Bientinesi

Proceedings of the International Conference on Computational Science and Its Applications, 2011

Knowledge-Based Automatic Generation of Partitioned Matrix Expressions.

Diego Fabregat-Traver, Paolo Bientinesi

Proceedings of the Computer Algebra in Scientific Computing - 13th International Workshop, 2011