| Towards an efficient use of the BLAS library for multilinear tensor contractions E Di Napoli, D Fabregat-Traver, G Quintana-Ortí, P Bientinesi Applied Mathematics and Computation 235, 454-468, 2014 | 57 | 2014 |
| Program generation for small-scale linear algebra applications DG Spampinato, D Fabregat-Traver, P Bientinesi, M Püschel Proceedings of the 2018 International Symposium on Code Generation and …, 2018 | 39 | 2018 |
| A domain-specific compiler for linear algebra operations D Fabregat-Traver, P Bientinesi High Performance Computing for Computational Science-VECPAR 2012: 10th …, 2013 | 36 | 2013 |
| Automatic generation of loop-invariants for matrix operations D Fabregat-Traver, P Bientinesi 2011 International Conference on Computational Science and Its Applications …, 2011 | 31 | 2011 |
| Knowledge-based automatic generation of partitioned matrix expressions D Fabregat-Traver, P Bientinesi Computer Algebra in Scientific Computing: 13th International Workshop, CASC …, 2011 | 30 | 2011 |
| On the performance prediction of BLAS-based tensor contractions E Peise, D Fabregat-Traver, P Bientinesi High Performance Computing Systems. Performance Modeling, Benchmarking, and …, 2015 | 21 | 2015 |
| High-Performance Mixed Models Based Genome-Wide Association Analysis with omicABEL software D Fabregat-Traver, SZ Sharapov, C Hayward, I Rudan, H Campbell, ... F1000Research 3, 2014 | 21 | 2014 |
| Application-tailored Linear Algebra Algorithms: A search-based Approach D Fabregat-Traver, P Bientinesi International Journal of High Performance Computing Applications (IJHPCA) 27 …, 2013 | 19 | 2013 |
| Large-scale linear regression: Development of high-performance routines A Frank, D Fabregat-Traver, P Bientinesi Applied Mathematics and Computation 275, 411-421, 2016 | 16 | 2016 |
| Computing petaflops over terabytes of data: The case of genome-wide association studies D Fabregat-Traver, P Bientinesi ACM Transactions on Mathematical Software (TOMS) 40 (4), 27, 2014 | 16 | 2014 |
| Solving Sequences of Generalized Least-Squares Problems on Multi-threaded Architectures D Fabregat-Traver, Y Aulchenko, P Bientinesi arXiv preprint arXiv:1210.7325, 2012 | 16* | 2012 |
| High performance solutions for big-data GWAS E Peise, D Fabregat-Traver, P Bientinesi Parallel Computing 42, 75-87, 2015 | 9 | 2015 |
| Knowledge-Based Automatic Generation of Linear Algebra Algorithms and Code D Fabregat-Traver arXiv preprint arXiv:1404.3406, 2014 | 8 | 2014 |
| Accelerating molecular dynamics codes by performance and accuracy modeling D Fabregat-Traver, AE Ismail, P Bientinesi Journal of Computational Science 27, 77-90, 2018 | 6* | 2018 |
| Algorithms for large-scale whole genome association analysis E Peise, D Fabregat-Traver, Y Aulchenko, P Bientinesi Proceedings of the 20th European MPI Users' Group Meeting, 229-234, 2013 | 4 | 2013 |
| Accelerating the computation of FLAPW methods on heterogeneous architectures D Davidović, D Fabregat‐Traver, M Höhnerbach, E Di Napoli Concurrency and Computation: Practice and Experience 30 (24), e4905, 2018 | 3 | 2018 |
| High-throughput Genome-wide Association Analysis for Single and Multiple Phenotypes D Fabregat-Traver, YS Aulchenko, P Bientinesi arXiv preprint arXiv:1207.2169, 2012 | 2 | 2012 |
| Hybrid CPU-GPU generation of the Hamiltonian and Overlap matrices in FLAPW methods D Fabregat-Traver, D Davidović, M Höhnerbach, E Di Napoli High-Performance Scientific Computing: First JARA-HPC Symposium, JHPCS 2016 …, 2017 | 1 | 2017 |
| Program Generation for Linear Algebra Using Multiple Layers of DSLs DG Spampinato, D Fabregat-Traver, M Püschel, P Bientinesi arXiv preprint arXiv:1906.08613, 2019 | | 2019 |
| On the performance prediction of blas-based tensor contractions E Peise, D Fabregat-Traver, P Bientinesi International Workshop on Performance Modeling, Benchmarking and Simulation …, 2014 | | 2014 |
Paolo BientinesiUmeå UniversityVerified email at cs.umu.se
